Neurophysiology

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Neurophysiology (from Greek νεῦρον, neuron, "nerve"; φύσις, physis, "nature, origin"; and -λογία, -logia) is a part of physiology. (Wikipedia.org)






Conferences related to Neurophysiology

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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


2013 International Joint Conference on Neural Networks (IJCNN 2013 - Dallas)

Neural Networks

  • 2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane)

    The annual IJCNN is the premier international conference in the field of neural networks.

  • 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose)

    IJCNN 2011 will include paper presentations, tutorials, workships, panels, special sessions and competitions on topics related to neural networks, including: Neural network theory and models; neural network applications; computational neuroscience; neurocognitive models; neuroengineering; neuroinformatics; neuroevolution; collective intelligence; embodied robotics; artificial life, etc.

  • 2010 International Joint Conference on Neural Networks (IJCNN 2010 - Barcelona)

  • 2009 International Joint Conference on Neural Networks (IJCNN 2009 - Atlanta)

    IJCNN is the premier international conference in the area of neural networks theory, analysis and applications. It is organized by the International Neural Networks Society (INNS) and sponsored jointly by INNS and the IEEE Computational Intelligence Society. This is an exemplary collaboration between the two leading societies on neural networks and it provides a solid foundation for the future extensive development of the field.

  • 2008 International Joint Conference on Neural Networks (IJCNN 2008 - Hong Kong)

    The IJCNN is the premier event in the field of neural networks. It covers all topics in neural network research (broadly defined).

  • 2007 International Joint Conference on Neural Networks (IJCNN 2007 - Orlando)

    The IJCNN is the premier event in the field of neural networks. It covers all topics in neural network research (broadly defined).


2012 IEEE Haptics Symposium (HAPTICS)

This conference brings together researchers in diverse engineering and human science disciplines who are interested in the design, analysis, and evaluation of systems that display haptic (force and touch) information to human operators, and the study of the human systems involved in haptic interaction.

  • 2010 IEEE Haptics Symposium (Formerly known as Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems)

    The Haptics Symposium is a bi-annual, single-track conference that brings together researchers who are advancing the human science, technology and design processes underlying haptic (force and tactile) interaction systems. Our community spans the disciplines of biomechanics, psychology, neurophysiology, engineering, human-computer interaction and computer science.



Periodicals related to Neurophysiology

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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.


Microelectromechanical Systems, Journal of

A journal covering Microsensing, Microactuation, Micromechanics, Microdynamics, and Microelectromechanical Systems (MEMS). Contains articles on devices with dimensions that typically range from macrometers to millimeters, microfabrication techniques, microphenomena; microbearings, and microsystems; theoretical, computational, modeling and control results; new materials and designs; tribology; microtelemanipulation; and applications to biomedical engineering, optics, fluidics, etc. The Journal is jointly sponsored by the IEEE Electron Devices ...


Sensors Journal, IEEE

The Field of Interest of the IEEE Sensors Journal is the science and applications of sensing phenomena, including theory, design, and application of devices for sensing and transducing physical, chemical, and biological phenomena. The emphasis is on the electronics, physics, biology, and intelligence aspects of sensors and integrated sensor-actuators. (IEEE Guide for Authors) (The fields of interest of the IEEE ...



Most published Xplore authors for Neurophysiology

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Xplore Articles related to Neurophysiology

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Identification of Visual Attention Regions in Machine Vision using Saliency Map

Manjunath R Kounte; B K Sujatha 2015 International Conference on Communications and Signal Processing (ICCSP), 2015

In Recent years, the detection of visual attention regions (VAR) is becoming more noteworthy due to its valuable applications in the area of multimedia. In this paper, we provide the Saliency Map hypothesis and test results for identification of Visual Attention Regions in Machine Vision using Computational Cognitive Neuroscience. We also review how Computational Cognitive Neuroscience approach is the best ...


A Neural Network Approach to the Validation of Simulation Models

Jurgen Martens; Karl Pauwels; Ferdi Put Proceedings of the 2006 Winter Simulation Conference, 2006

We tackle the problem of validating simulation models using neural networks. We propose a neural-network-based method that first learns key properties of the behaviour of alternative simulation models, and then classifies real system behaviour as coming from one of the models. We investigate the use of multi-layer perceptron and radial basis function networks, both of which are popular pattern classification ...


Meta-model Design for Internet Multimedia Neurophysiology Interface

Alexander P. Kamyshanov 2009 Third Asia International Conference on Modelling & Simulation, 2009

Internet modelling research has worked out its own problem domain. It unites the results and methods of fundamental sciences as physics, chemistry, and quantum mechanics, so exotic mathematically poor described neurophysiology together with rapidly developing knowledge engineering. Global scientistspsila cooperation leads to creation of multimedia systems, representing Internet cognitive interface, and new theoretical methods for knowledge discovery. Hidden Markov chains ...


Directions in future neural modelling: a biological perspective

M. P. Whitehouse [Proceedings 1992] IJCNN International Joint Conference on Neural Networks, 1992

An alternative connectionist paradigm is proposed which sits between the models of the traditional connectionist level and the neural level. The models are termed BRNNMs (biologically realistic neural network models) and are distinguished from previous models by being functionally true to modern neurophysical details. Details of a theoretical framework for the development of the proposed BRNNMs are described to realize ...


Minimum jerk control of power assisting robot on human arm behavior characteristic

H. Seki; S. Tadakuma 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2004

This paper presents a novel trajectory control-method for power assisting robot. Human input force is intermittent in many cases such as assisting devices for upper limbs and power assisting wheelchair; therefore, the suitable trajectory must be generated also after the human decreases his force. This paper tries to solve this significant problem based on minimum jerk model closely approximating human ...


More Xplore Articles

Educational Resources on Neurophysiology

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eLearning

Identification of Visual Attention Regions in Machine Vision using Saliency Map

Manjunath R Kounte; B K Sujatha 2015 International Conference on Communications and Signal Processing (ICCSP), 2015

In Recent years, the detection of visual attention regions (VAR) is becoming more noteworthy due to its valuable applications in the area of multimedia. In this paper, we provide the Saliency Map hypothesis and test results for identification of Visual Attention Regions in Machine Vision using Computational Cognitive Neuroscience. We also review how Computational Cognitive Neuroscience approach is the best ...


A Neural Network Approach to the Validation of Simulation Models

Jurgen Martens; Karl Pauwels; Ferdi Put Proceedings of the 2006 Winter Simulation Conference, 2006

We tackle the problem of validating simulation models using neural networks. We propose a neural-network-based method that first learns key properties of the behaviour of alternative simulation models, and then classifies real system behaviour as coming from one of the models. We investigate the use of multi-layer perceptron and radial basis function networks, both of which are popular pattern classification ...


Meta-model Design for Internet Multimedia Neurophysiology Interface

Alexander P. Kamyshanov 2009 Third Asia International Conference on Modelling & Simulation, 2009

Internet modelling research has worked out its own problem domain. It unites the results and methods of fundamental sciences as physics, chemistry, and quantum mechanics, so exotic mathematically poor described neurophysiology together with rapidly developing knowledge engineering. Global scientistspsila cooperation leads to creation of multimedia systems, representing Internet cognitive interface, and new theoretical methods for knowledge discovery. Hidden Markov chains ...


Directions in future neural modelling: a biological perspective

M. P. Whitehouse [Proceedings 1992] IJCNN International Joint Conference on Neural Networks, 1992

An alternative connectionist paradigm is proposed which sits between the models of the traditional connectionist level and the neural level. The models are termed BRNNMs (biologically realistic neural network models) and are distinguished from previous models by being functionally true to modern neurophysical details. Details of a theoretical framework for the development of the proposed BRNNMs are described to realize ...


Minimum jerk control of power assisting robot on human arm behavior characteristic

H. Seki; S. Tadakuma 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2004

This paper presents a novel trajectory control-method for power assisting robot. Human input force is intermittent in many cases such as assisting devices for upper limbs and power assisting wheelchair; therefore, the suitable trajectory must be generated also after the human decreases his force. This paper tries to solve this significant problem based on minimum jerk model closely approximating human ...


More eLearning Resources

IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Neurophysiology"

IEEE-USA E-Books

  • Real-time adaptive information-theoretic optimization of neurophysiology experiments

    Adaptively optimizing experiments can significantly reduce the number of trials needed to characterize neural responses using parametric statistical models. However, the potential for these methods has been limited to date by severe computational challenges: choosing the stimulus which will provide the most information about the (typically high-dimensional) model parameters requires evaluating a high-dimensional integration and optimization in near- real time. Here we present a fast algorithm for choosing the optimal (most informative) stimulus based on a Fisher approximation of the Shannon information and specialized numerical linear algebra techniques. This algorithm requires only low-rank matrix manipulations and a one-dimensional linesearch to choose the stimulus and is therefore efficient even for high- dimensional stimulus and parameter spaces; for example, we require just 15 milliseconds on a desktop computer to optimize a 100-dimensional stimulus. Our algorithm therefore makes real-time adaptive experimental design feasible. Simulation results show that model parameters can be estimated much more efficiently using these adaptive techniques than by using random (nonadaptive) stimuli. Finally, we generalize the algorithm to efficiently handle both fast adaptation due to spike-history effects and slow, non-systematic drifts in the model parameters.

  • Symposium Discussant

    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.

  • The Task of Vision

    The more than twenty contributions in this book, all new and previously unpublished, provide an up-to-date survey of contemporary research on computational modeling of the visual system. The approaches represented range from neurophysiology to psychophysics, and from retinal function to the analysis of visual cues to motion, color, texture, and depth. The contributions are linked thematically by a consistent consideration of the links between empirical data and computational models in the study of visual function.An introductory chapter by Edward Adelson and James Bergen gives a new and elegant formalization of the elements of early vision. Subsequent sections treat receptors and sampling, models of neural function, detection and discrimination, color and shading, motion and texture, and 3D shape. Each section is introduced by a brief topical review and summary.Michael S. Landy is Associate Professor of Psychology at New York University where J. Anthony Movshon is Professor of Neural Science and Psychology and Director of the Center for Neural Science.Contributors: Edward H. Adelson. Albert J. Ahumada, Jr., James R. Bergen. David G. Birch. David H. Brainard. Heinrich H. Bülthoff. Charles Chubb. Nancy J. Coletta. Michael D'Zmura. John P. Frisby. Norma Graham. Norberto M. Grzywacz. P. William Haake. Michael J. Hawken. David J. Heeger. Donald C. Hood. Elizabeth B. Johnston. Daniel Kersten. Michael S. Landy. Peter Lennie. J. Stephen Mansfield. J. Anthony Movshon. Jacob Nachmias. Andrew J. Parker. Denis G. Pelli. Stephen B. Pollard. R. Clay Reid. Robert Shapley. Carlo L. M. Tiana. Brian A. Wandell. Andrew B. Watson. David R. Williams. Hugh R. Wilson. Yuede. Yang. Alan L. Yuille.

  • Association Lecture

    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.

  • Subject Index

    The more than twenty contributions in this book, all new and previously unpublished, provide an up-to-date survey of contemporary research on computational modeling of the visual system. The approaches represented range from neurophysiology to psychophysics, and from retinal function to the analysis of visual cues to motion, color, texture, and depth. The contributions are linked thematically by a consistent consideration of the links between empirical data and computational models in the study of visual function.An introductory chapter by Edward Adelson and James Bergen gives a new and elegant formalization of the elements of early vision. Subsequent sections treat receptors and sampling, models of neural function, detection and discrimination, color and shading, motion and texture, and 3D shape. Each section is introduced by a brief topical review and summary.Michael S. Landy is Associate Professor of Psychology at New York University where J. Anthony Movshon is Professor of Neural Science and Psychology and Director of the Center for Neural Science.Contributors: Edward H. Adelson. Albert J. Ahumada, Jr., James R. Bergen. David G. Birch. David H. Brainard. Heinrich H. Bülthoff. Charles Chubb. Nancy J. Coletta. Michael D'Zmura. John P. Frisby. Norma Graham. Norberto M. Grzywacz. P. William Haake. Michael J. Hawken. David J. Heeger. Donald C. Hood. Elizabeth B. Johnston. Daniel Kersten. Michael S. Landy. Peter Lennie. J. Stephen Mansfield. J. Anthony Movshon. Jacob Nachmias. Andrew J. Parker. Denis G. Pelli. Stephen B. Pollard. R. Clay Reid. Robert Shapley. Carlo L. M. Tiana. Brian A. Wandell. Andrew B. Watson. David R. Williams. Hugh R. Wilson. Yuede. Yang. Alan L. Yuille.

  • Evolution of a Circuit of Spiking Neurons for Phototaxis in a Braitenberg Vehicle

    Animal nervous systems have evolved to use spiking neurons but the 'artificial nervous systems' of animats typically are designed, not evolved, and use networks of formal, artificial neurons. We describe the evolution of circuits of spiking neurons for a robot, motivated by the desire to study links between neurophysiology and behaviour in artificial and (ultimately) natural animals. Spiking neurons have computational capabilities additional to those of artificial neurons based on activation functions. In particular, they should be better suited to processing temporal sequences. Thus, we describe early work aimed at evolution of neural circuitry which, when implanted in a Braitenberg type 2b vehicle, promotes phototaxis behaviour in the form of movement towards flashing lights of a particular frequency. The longer-term aim is to evolve natural taxis behaviours such as that observed in the cricket

  • Color and Shading

    The more than twenty contributions in this book, all new and previously unpublished, provide an up-to-date survey of contemporary research on computational modeling of the visual system. The approaches represented range from neurophysiology to psychophysics, and from retinal function to the analysis of visual cues to motion, color, texture, and depth. The contributions are linked thematically by a consistent consideration of the links between empirical data and computational models in the study of visual function.An introductory chapter by Edward Adelson and James Bergen gives a new and elegant formalization of the elements of early vision. Subsequent sections treat receptors and sampling, models of neural function, detection and discrimination, color and shading, motion and texture, and 3D shape. Each section is introduced by a brief topical review and summary.Michael S. Landy is Associate Professor of Psychology at New York University where J. Anthony Movshon is Professor of Neural Science and Psychology and Director of the Center for Neural Science.Contributors: Edward H. Adelson. Albert J. Ahumada, Jr., James R. Bergen. David G. Birch. David H. Brainard. Heinrich H. Bülthoff. Charles Chubb. Nancy J. Coletta. Michael D'Zmura. John P. Frisby. Norma Graham. Norberto M. Grzywacz. P. William Haake. Michael J. Hawken. David J. Heeger. Donald C. Hood. Elizabeth B. Johnston. Daniel Kersten. Michael S. Landy. Peter Lennie. J. Stephen Mansfield. J. Anthony Movshon. Jacob Nachmias. Andrew J. Parker. Denis G. Pelli. Stephen B. Pollard. R. Clay Reid. Robert Shapley. Carlo L. M. Tiana. Brian A. Wandell. Andrew B. Watson. David R. Williams. Hugh R. Wilson. Yuede. Yang. Alan L. Yuille.

  • Models of Neural Function

    The more than twenty contributions in this book, all new and previously unpublished, provide an up-to-date survey of contemporary research on computational modeling of the visual system. The approaches represented range from neurophysiology to psychophysics, and from retinal function to the analysis of visual cues to motion, color, texture, and depth. The contributions are linked thematically by a consistent consideration of the links between empirical data and computational models in the study of visual function.An introductory chapter by Edward Adelson and James Bergen gives a new and elegant formalization of the elements of early vision. Subsequent sections treat receptors and sampling, models of neural function, detection and discrimination, color and shading, motion and texture, and 3D shape. Each section is introduced by a brief topical review and summary.Michael S. Landy is Associate Professor of Psychology at New York University where J. Anthony Movshon is Professor of Neural Science and Psychology and Director of the Center for Neural Science.Contributors: Edward H. Adelson. Albert J. Ahumada, Jr., James R. Bergen. David G. Birch. David H. Brainard. Heinrich H. Bülthoff. Charles Chubb. Nancy J. Coletta. Michael D'Zmura. John P. Frisby. Norma Graham. Norberto M. Grzywacz. P. William Haake. Michael J. Hawken. David J. Heeger. Donald C. Hood. Elizabeth B. Johnston. Daniel Kersten. Michael S. Landy. Peter Lennie. J. Stephen Mansfield. J. Anthony Movshon. Jacob Nachmias. Andrew J. Parker. Denis G. Pelli. Stephen B. Pollard. R. Clay Reid. Robert Shapley. Carlo L. M. Tiana. Brian A. Wandell. Andrew B. Watson. David R. Williams. Hugh R. Wilson. Yuede. Yang. Alan L. Yuille.

  • Detection and Discrimination

    The more than twenty contributions in this book, all new and previously unpublished, provide an up-to-date survey of contemporary research on computational modeling of the visual system. The approaches represented range from neurophysiology to psychophysics, and from retinal function to the analysis of visual cues to motion, color, texture, and depth. The contributions are linked thematically by a consistent consideration of the links between empirical data and computational models in the study of visual function.An introductory chapter by Edward Adelson and James Bergen gives a new and elegant formalization of the elements of early vision. Subsequent sections treat receptors and sampling, models of neural function, detection and discrimination, color and shading, motion and texture, and 3D shape. Each section is introduced by a brief topical review and summary.Michael S. Landy is Associate Professor of Psychology at New York University where J. Anthony Movshon is Professor of Neural Science and Psychology and Director of the Center for Neural Science.Contributors: Edward H. Adelson. Albert J. Ahumada, Jr., James R. Bergen. David G. Birch. David H. Brainard. Heinrich H. Bülthoff. Charles Chubb. Nancy J. Coletta. Michael D'Zmura. John P. Frisby. Norma Graham. Norberto M. Grzywacz. P. William Haake. Michael J. Hawken. David J. Heeger. Donald C. Hood. Elizabeth B. Johnston. Daniel Kersten. Michael S. Landy. Peter Lennie. J. Stephen Mansfield. J. Anthony Movshon. Jacob Nachmias. Andrew J. Parker. Denis G. Pelli. Stephen B. Pollard. R. Clay Reid. Robert Shapley. Carlo L. M. Tiana. Brian A. Wandell. Andrew B. Watson. David R. Williams. Hugh R. Wilson. Yuede. Yang. Alan L. Yuille.

  • Analysis and Refinements

    This chapter contains sections titled: Achieving the Original Goal, Richer Desciptions, Other Sources of Information, Discontinuities, Noise Removal, Acuity, Retinal Mappings, multiple Representations, Psychophysics and Neurophysiology



Standards related to Neurophysiology

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Jobs related to Neurophysiology

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