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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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


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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Census-based vision for auditory depth images and speech navigation of visually impaired users

Soo-Chang Pei; Yu-Ying Wang IEEE Transactions on Consumer Electronics, 2011

In neuroscience and psychology, visual imagery is the subjective experience of seeing in the absence of visual stimulation. Someone may experience touch or sound as a result of visual imagery. In this paper, a new visual image aid which can provide a different way to visualize the image for visually impaired users is proposed. It is done by applying the ...


Evolved Machines Shed Light on Robustness and Resilience

Josh Bongard; Hod Lipson Proceedings of the IEEE, 2014

In biomimetic engineering, we may take inspiration from the products of biological evolution: we may instantiate biologically realistic neural architectures and algorithms in robots, or we may construct robots with morphologies that are found in nature. Alternatively, we may take inspiration from the process of evolution: we may evolve populations of robots in simulation and then manufacture physical versions of ...


A parametric model and Maximum Likelihood estimation of neural rate functions

Scott Monk; Harry Leib 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2012

Accurately recovering stimulus information from measured neural responses is a common task in the analysis and modeling of the central nervous system. Notable variability in action potential timing invoked by similar stimuli suggests stochastic modeling is appropriate. This work presents a Maximum Likelihood estimator for a parametrized rate function under the assumption that spiking follows a inhomogeneous Poisson process. We ...


A Multiple Degree of Freedom Lower Extremity Isometric Device to Simultaneously Quantify Hip, Knee, and Ankle Torques

Natalia Sánchez; Ana Maria Acosta; Arno H. A. Stienen; Julius P. A. Dewald IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2015

Characterization of the joint torque coupling strategies used in the lower extremity to generate maximal and submaximal levels of torque at either the hip, knee, or ankle is lacking. Currently, there are no available isometric devices that quantify all concurrent joint torques in the hip, knee, and ankle of a single leg during maximum voluntary torque generation. Thus, joint-torque coupling ...


Information geometry on hierarchy of probability distributions

S. -I. Amari IEEE Transactions on Information Theory, 2001

An exponential family or mixture family of probability distributions has a natural hierarchical structure. This paper gives an "orthogonal" decomposition of such a system based on information geometry. A typical example is the decomposition of stochastic dependency among a number of random variables. In general, they have a complex structure of dependencies. Pairwise dependency is easily represented by correlation, but ...


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Educational Resources on Neuroscience

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eLearning

Census-based vision for auditory depth images and speech navigation of visually impaired users

Soo-Chang Pei; Yu-Ying Wang IEEE Transactions on Consumer Electronics, 2011

In neuroscience and psychology, visual imagery is the subjective experience of seeing in the absence of visual stimulation. Someone may experience touch or sound as a result of visual imagery. In this paper, a new visual image aid which can provide a different way to visualize the image for visually impaired users is proposed. It is done by applying the ...


Evolved Machines Shed Light on Robustness and Resilience

Josh Bongard; Hod Lipson Proceedings of the IEEE, 2014

In biomimetic engineering, we may take inspiration from the products of biological evolution: we may instantiate biologically realistic neural architectures and algorithms in robots, or we may construct robots with morphologies that are found in nature. Alternatively, we may take inspiration from the process of evolution: we may evolve populations of robots in simulation and then manufacture physical versions of ...


A parametric model and Maximum Likelihood estimation of neural rate functions

Scott Monk; Harry Leib 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2012

Accurately recovering stimulus information from measured neural responses is a common task in the analysis and modeling of the central nervous system. Notable variability in action potential timing invoked by similar stimuli suggests stochastic modeling is appropriate. This work presents a Maximum Likelihood estimator for a parametrized rate function under the assumption that spiking follows a inhomogeneous Poisson process. We ...


A Multiple Degree of Freedom Lower Extremity Isometric Device to Simultaneously Quantify Hip, Knee, and Ankle Torques

Natalia Sánchez; Ana Maria Acosta; Arno H. A. Stienen; Julius P. A. Dewald IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2015

Characterization of the joint torque coupling strategies used in the lower extremity to generate maximal and submaximal levels of torque at either the hip, knee, or ankle is lacking. Currently, there are no available isometric devices that quantify all concurrent joint torques in the hip, knee, and ankle of a single leg during maximum voluntary torque generation. Thus, joint-torque coupling ...


Information geometry on hierarchy of probability distributions

S. -I. Amari IEEE Transactions on Information Theory, 2001

An exponential family or mixture family of probability distributions has a natural hierarchical structure. This paper gives an "orthogonal" decomposition of such a system based on information geometry. A typical example is the decomposition of stochastic dependency among a number of random variables. In general, they have a complex structure of dependencies. Pairwise dependency is easily represented by correlation, but ...


More eLearning Resources

IEEE-USA E-Books

  • II

    On the eve of Google's IPO in 2004, Larry Page and Sergey Brin vowed not to be evil. Today, a growing number of technologists would go further, trying to ensure that their work actively improves people's lives. Technology, so pervasive and ubiquitous, has the capacity to increase stress and suffering; but it also has the less-heralded potential to improve the well-being of individuals, society, and the planet. In this book, Rafael Calvo and Dorian Peters investigate what they term "positive computing" -- the design and development of technology to support psychological well-being and human potential. Calvo and Peters explain that technologists' growing interest in social good is part of a larger public concern about how our digital experience affects our emotions and our quality of life -- which itself reflects an emerging focus on humanistic values in many different disciplines. Synthesizing theory, knowledge, and empirical methodologies from a variety of fields, they of er a rigorous and coherent foundational framework for positive computing. Sidebars by experts from psychology, neuroscience, human--computer interaction, and other disciplines supply essential context. Calvo and Peters examine specific well-being factors, including positive emotions, self-awareness, mindfulness, empathy, and compassion, and explore how technology can support these factors. Finally, they offer suggestions for future research and funding. **Sidebars**Timothy N. Bickmore, Jeremy Bailenson, danah boyd, Jane Burns, David R. Caruso, Mihaly Csikszentmihalyi, Felicia Huppert, Mary-Helen Immordino-Yang, Adele Krusche and J. Mark G. Williams, Jane McGonigal, Jonathan Nicholas, Don Norman, Yvonne Rogers

  • Subject Index

    The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. It draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists--interested in theoretical and applied aspects of modeling, simulating, and building neural-like or intelligent systems. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning, and applications. Only twenty-five percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.Bernhard Schölkopf is Managing Director of the Max Planck Institute for Biological Cybernetics in Tÿbingen, Germany, Professor for Machine Learning at the Technical University of Berlin, and General Chair of the 2006 NIPS conference. John Platt is Manager of the Knowledge Tools group at Microsoft Research, and Program Chair of the 2006 NIPS conference. Thomas Hofmann is a Director of Engineering at Google's Engineering Center in Zurich, Adjunct Associate Professor of Computer Science at Brown University, and Publications Chair of the 2006 NIPS conference.

  • 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

  • Formal Analyses

    What makes people smarter than computers? These volumes by a pioneering neurocomputing group suggest that the answer lies in the massively parallel architecture of the human mind. They describe a new theory of cognition called connectionism that is challenging the idea of symbolic computation that has traditionally been at the center of debate in theoretical discussions about the mind. The authors' theory assumes the mind is composed of a great number of elementary units connected in a neural network. Mental processes are interactions between these units which excite and inhibit each other in parallel rather than sequential operations. In this context, knowledge can no longer be thought of as stored in localized structures; instead, it consists of the connections between pairs of units that are distributed throughout the network. Volume 1 lays the foundations of this exciting theory of parallel distributed processing, while Volume 2 applies it to a number of specific issues in cognitive science and neuroscience, with chapters describing models of aspects of perception, memory, language, and thought.

  • Mindfulness

    This chapter contains sections titled: The Psychology of Mindfulness, The Neuroscience of Mindfulness, Measuring Mindfulness, Strategies and Interventions for Fostering Mindfulness, Digital Technology for Mindfulness, Design Implications, Notes, References

  • Author Index

    The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. It draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists--interested in theoretical and applied aspects of modeling, simulating, and building neural-like or intelligent systems. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning, and applications. Only twenty-five percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.Bernhard Schölkopf is Managing Director of the Max Planck Institute for Biological Cybernetics in Tÿbingen, Germany, Professor for Machine Learning at the Technical University of Berlin, and General Chair of the 2006 NIPS conference. John Platt is Manager of the Knowledge Tools group at Microsoft Research, and Program Chair of the 2006 NIPS conference. Thomas Hofmann is a Director of Engineering at Google's Engineering Center in Zurich, Adjunct Associate Professor of Computer Science at Brown University, and Publications Chair of the 2006 NIPS conference.

  • Contributors

    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

  • Index

    On the eve of Google's IPO in 2004, Larry Page and Sergey Brin vowed not to be evil. Today, a growing number of technologists would go further, trying to ensure that their work actively improves people's lives. Technology, so pervasive and ubiquitous, has the capacity to increase stress and suffering; but it also has the less-heralded potential to improve the well-being of individuals, society, and the planet. In this book, Rafael Calvo and Dorian Peters investigate what they term "positive computing" -- the design and development of technology to support psychological well-being and human potential. Calvo and Peters explain that technologists' growing interest in social good is part of a larger public concern about how our digital experience affects our emotions and our quality of life -- which itself reflects an emerging focus on humanistic values in many different disciplines. Synthesizing theory, knowledge, and empirical methodologies from a variety of fields, they of er a rigorous and coherent foundational framework for positive computing. Sidebars by experts from psychology, neuroscience, human--computer interaction, and other disciplines supply essential context. Calvo and Peters examine specific well-being factors, including positive emotions, self-awareness, mindfulness, empathy, and compassion, and explore how technology can support these factors. Finally, they offer suggestions for future research and funding. **Sidebars**Timothy N. Bickmore, Jeremy Bailenson, danah boyd, Jane Burns, David R. Caruso, Mihaly Csikszentmihalyi, Felicia Huppert, Mary-Helen Immordino-Yang, Adele Krusche and J. Mark G. Williams, Jane McGonigal, Jonathan Nicholas, Don Norman, Yvonne Rogers

  • Performance Theory and Measurement through Chronometric Analysis

    This chapter contains sections titled: RT: Scope And Limitations, The Information-Processing Approach, The Mm And The Issue Of Discrete Versus Continuous Processing, Psychophysiological Measures, Discrete Versus Continuous And The Paradigm Of The Functional Visual Field, Double Tasks, References

  • Perceiving an Integrated Visual World

    This chapter contains sections titled: Introduction, Does Spatiotopic Fusion Occur Across Saccades?, Interim Summary, Evidence From Reading, Evidence From Picture Perception, Evidence From Other Visual Tasks, Summary, Note, References



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