Neurophysiology

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






Conferences related to Neurophysiology

Back to Top

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

Back to Top

Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


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 ...




Xplore Articles related to Neurophysiology

Back to Top

An intelligent controller for neurophysiological experiments

M. J. Schement; P. H. Hartline [1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems, 1992

The authors describe an intelligent controller (ICON) for neurophysiology experiments that employs approximate reasoning techniques and a dynamic control planner (DYNCON) to perform real-time analysis and control of the experiment. Results from experiments simulated from real data show that ICON reached the same conclusions as did the investigator during and after the actual experiment but that ICON did so in ...


Brisk movement imagination for the non-invasive control of neuroprostheses: A first attempt

Gernot R. Müller-Putz; Patrick Ofner; Vera Kaiser; Guillaume Clauzel; Christa Neuper 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

The consequences of a spinal cord injury (SCI) are tremendous for the patients. The loss of motor functions, especially of grasping, leads to a dramatic decrease in quality of life. With the help of neuroprostheses, the grasp function can be substantially improved in cervical SCI patients. Nowadays, systems for grasp restoration can only be used by patients with preserved voluntary ...


Correction to “Review of Neurosurgical Fluorescence Imaging Methodologies”

Brian W. Pogue; Summer Gibbs-Strauss; Pablo A. Valdés; Kimberley Samkoe; David W. Roberts; Keith D. Paulsen IEEE Journal of Selected Topics in Quantum Electronics, 2010

In the above titled paper (ibid., vol. 16, no. 3, pp. 493-505, May/Jun 10), the microscope platform used in the phase III trial was incorrectly said to be developed by Leica, but it was developed by Carlo Zeiss, Inc. for this trial, which was the early version of the OPMI Pentero system.


EpiScan: Online seizure detection for epilepsy monitoring units

Manfred M. Hartmann; Franz Fürbaß; Hannes Perko; Ana Skupch; Katharina Lackmayer; Christoph Baumgartner; Tilmann Kluge 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

An online seizure detection algorithm for long-term EEG monitoring is presented, which is based on a periodic waveform analysis detecting rhythmic EEG patterns and an adaptation module automatically adjusting the algorithm to patient-specific EEG properties. The algorithm was evaluated using 4.300 hours of unselected EEG recordings from 48 patients with temporal lobe epilepsy. For 66% of the patients the algorithm ...


Memory and learning in a meso level reasoning system

J. Aisbett; G. Gibbon Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on, 2002

In earlier work, we built on the notion of feature spaces to develop a formal paradigm for representation and reasoning that is intermediate between symbolic and neural paradigms. In our model, states of the system, that is, objects or examples of concepts, can be represented as multi-spectral images. A metric is defined on these states in terms of the energy ...


More Xplore Articles

Educational Resources on Neurophysiology

Back to Top

eLearning

An intelligent controller for neurophysiological experiments

M. J. Schement; P. H. Hartline [1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems, 1992

The authors describe an intelligent controller (ICON) for neurophysiology experiments that employs approximate reasoning techniques and a dynamic control planner (DYNCON) to perform real-time analysis and control of the experiment. Results from experiments simulated from real data show that ICON reached the same conclusions as did the investigator during and after the actual experiment but that ICON did so in ...


Brisk movement imagination for the non-invasive control of neuroprostheses: A first attempt

Gernot R. Müller-Putz; Patrick Ofner; Vera Kaiser; Guillaume Clauzel; Christa Neuper 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

The consequences of a spinal cord injury (SCI) are tremendous for the patients. The loss of motor functions, especially of grasping, leads to a dramatic decrease in quality of life. With the help of neuroprostheses, the grasp function can be substantially improved in cervical SCI patients. Nowadays, systems for grasp restoration can only be used by patients with preserved voluntary ...


Correction to “Review of Neurosurgical Fluorescence Imaging Methodologies”

Brian W. Pogue; Summer Gibbs-Strauss; Pablo A. Valdés; Kimberley Samkoe; David W. Roberts; Keith D. Paulsen IEEE Journal of Selected Topics in Quantum Electronics, 2010

In the above titled paper (ibid., vol. 16, no. 3, pp. 493-505, May/Jun 10), the microscope platform used in the phase III trial was incorrectly said to be developed by Leica, but it was developed by Carlo Zeiss, Inc. for this trial, which was the early version of the OPMI Pentero system.


EpiScan: Online seizure detection for epilepsy monitoring units

Manfred M. Hartmann; Franz Fürbaß; Hannes Perko; Ana Skupch; Katharina Lackmayer; Christoph Baumgartner; Tilmann Kluge 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

An online seizure detection algorithm for long-term EEG monitoring is presented, which is based on a periodic waveform analysis detecting rhythmic EEG patterns and an adaptation module automatically adjusting the algorithm to patient-specific EEG properties. The algorithm was evaluated using 4.300 hours of unselected EEG recordings from 48 patients with temporal lobe epilepsy. For 66% of the patients the algorithm ...


Memory and learning in a meso level reasoning system

J. Aisbett; G. Gibbon Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on, 2002

In earlier work, we built on the notion of feature spaces to develop a formal paradigm for representation and reasoning that is intermediate between symbolic and neural paradigms. In our model, states of the system, that is, objects or examples of concepts, can be represented as multi-spectral images. A metric is defined on these states in terms of the energy ...


More eLearning Resources

IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Neurophysiology"

IEEE-USA E-Books

  • 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.

  • Surface EMG Applications in Neurophysiology

    This chapter focuses on the basics of surface electromyography (sEMG) and related methods for the study of human motor control and its adaptations. Recordings of voluntary sEMG provide partial information on the mechanisms involved in muscle activity. However, the combination of sEMG and methods based on electrically and magnetically evoked potentials allows stepping further in a comprehensive approach of movement strategies during tasks, and the influence of various factors such as etiology of cramps, fatigue, training, aging on such strategies. The recorded sEMG signal represents the electrical activity of numerous motor units. The chapter describes the basic methodology to record H-reflex and the relevant factors to consider when assessing its modulations. sEMG and evoked potentials provide relevant information on age-related changes within the muscle and the nervous system, as well as on the neural adjustments required to perform various motor tasks.

  • 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.

  • 3D Shape

    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

  • 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.

  • 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.

  • 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.

  • Author 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.



Standards related to Neurophysiology

Back to Top

No standards are currently tagged "Neurophysiology"


Jobs related to Neurophysiology

Back to Top