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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2018 ELEKTRO

The purpose of the conference is to provide an international forum for researchers and professionals interested in electrical and electronic engineering, information and communication technologies as well as interdisciplinary areas with the main attention to the conference topics.

  • 2016 ELEKTRO

    The conference is the eleventh of the series of international conferences which began in 1995 initially as a national conference with international participation. The conference is organized by the Faculty of Electrical Engineering, University of Žilina, every two years. The purpose of the conference is to provide an international forum for researchers and professionals interested in electrical and electronic engineering, information and communication technologies as well as interdisciplinary areas with the main attention to the conference topics.

  • 2014 ELEKTRO

    The purpose of the conference is to provide an international forum for researchers and professionals interested in electrical and electronic engineering as well as boundary areas with the main attention to the conference topics.

  • 2012 ELEKTRO

    The purpose of the conference is to provide an international forum for researchers and professionals interested in electrical and electronic engineering as well as boundary areas with the main attention to the conference topics.


2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)

IECBES is a series of bi-annual conference since 2010. The conference will provide excellent platform for knowledge exchange between researchers, scientists, academicians and engineers working in the areas of biomedical engineering. It is open for local and international participants.

  • 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)

    IECBES is the flagship conference of EMB Malaysia Chapter. Its scope includes new findings in research areas of Biomedical Engineering with keywords indicated above.

  • 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES)

    Biomedical Signal and Image Processing:Cardiovascular, Respiratory, Neural, Biomedical Instrumentation & Devices: Sensor, Micro / Nano / Wearable Technology,Biomaterial, Biomimetics, Rehabilitation andTherapeutic Health System, Biomedical Modeling and Simulation, Bioinformatics, Biomechanics and medical robotics, Ergonomics & Human Factors,Healthcare Information System, Telemedicine, eHealth, myHealth.

  • 2012 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES 2012)

    Biomedical Signal and Image Processing:Cardiovascular, Respiratory, Neural, Biomedical Instrumentation & Devices: Sensor, Micro / Nano / Wearable Technology,Biomaterial, Biomimetics, Rehabilitation and Therapeutic Health System, Biomedical Modeling and Simulation, Bioinformatics, Biomechanics and medical robotics, Ergonomics & Human Factors,Healthcare Information System, Telemedicine, eHealth, myHealth.

  • 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)

    Biomedical Signal and Image Processing: Cardiovascular, Respiratory, Neural Biomedical Instrumentation & Devices: Sensor, micro/ nano/wearable technology, biomaterial, biomimetic Rehabilitation and Therapeutic Health System Biomedical Modelling and Simulation Bioinformatics Biomechanics and medical robotics Healthcare Information System: Telemedicine, eHealth, mHealth


2017 IEEE/MTT-S International Microwave Symposium - IMS 2017

The IEEE MTT-S International Microwave Symposium (IMS) is the premier conference covering basic technologies, to passives and actives components to system over a wide range of frequencies including VHF, UHF, RF, microwave, millimeter-wave, terahertz, and optical. The conference will encompass the latest in RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation, wireless systems, RFID and related topics.

  • 2036 IEEE/MTT-S International Microwave Symposium - IMS 2036

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2031 IEEE/MTT-S International Microwave Symposium - IMS 2031

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2029 IEEE/MTT-S International Microwave Symposium - MTT 2029

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2026 IEEE/MTT-S International Microwave Symposium - IMS 2026

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2025 IEEE/MTT-S International Microwave Symposium - IMS 2025

    The IEEE International Microwave Symposium (IMS) is the world s foremost conferencecovering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies;encompassing everything from basic technologies to components to systems including thelatest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulationand more. The IMS includes technical and interactive sessions, exhibits, student competitions,panels, workshops, tutorials, and networking events.

  • 2024 IEEE/MTT-S International Microwave Symposium - IMS 2024

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2023 IEEE/MTT-S International Microwave Symposium - IMS 2023

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2022 IEEE/MTT-S International Microwave Symposium - IMS 2022

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2021 IEEE/MTT-S International Microwave Symposium - IMS 2021

    The IEEE MTT-S International Microwave Symposium (IMS) is the premier conference covering basic technologies, to passives and actives components to system over a wide range of frequencies including VHF, UHF, RF, microwave, millimeter-wave, terahertz, and optical. The conference will encompass the latest in RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation, wireless systems, RFID and related topics.

  • 2020 IEEE/MTT-S International Microwave Symposium - IMS 2020

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2019 IEEE/MTT-S International Microwave Symposium - MTT 2019

    Comprehensive symposium on microwave theory and techniques including active and passive circuit components, theory and microwave systems.

  • 2018 IEEE/MTT-S International Microwave Symposium - MTT 2018

    Microwave theory and techniques, RF/microwave/millimeter-wave/terahertz circuit design and fabrication technology, radio/wireless communication.

  • 2016 IEEE/MTT-S International Microwave Symposium - IMS 2016

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2015 IEEE/MTT-S International Microwave Symposium - MTT 2015

    The IEEE MTT-S International Microwave Symposium (IMS) is the premier conference covering basic technologies, to passives and actives components to system over a wide range of frequencies including VHF, UHF, RF, microwave, millimeter-wave, terahertz, and optical. The conference will encompass the latest in RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation, wireless systems, RFID and related topics. The IMS includes technical sessions, both oral and interactive, worksh

  • 2014 IEEE/MTT-S International Microwave Symposium - MTT 2014

    IMS2014 will cover developments in microwave technology from nano devices to system applications. Technical paper sessions, interactive forums, plenary and panel sessions, workshops, short courses, industrial exhibits, and a wide array of other technical activities will be offered.

  • 2013 IEEE/MTT-S International Microwave Symposium - MTT 2013

    The IEEE MTT-S International Microwave Symposium (IMS) is the premier conference covering basic technologies, to passives and actives components to system over a wide range of frequencies including VHF, UHF, RF, microwave, millimeter -wave, terahertz, and optical. The conference will encompass the latest in RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation, wireless systems, RFID and related topics.The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2012 IEEE/MTT-S International Microwave Symposium - MTT 2012

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2011 IEEE/MTT-S International Microwave Symposium - MTT 2011

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2010 IEEE/MTT-S International Microwave Symposium - MTT 2010

    Reports of research and development at the state-of-the-art of the theory and techniques related to the technology and applications of devices, components, circuits, modules and systems in the RF, microwave, millimeter-wave, submillimeter-wave and Terahertz ranges of the electromagnetic spectrum.

  • 2009 IEEE/MTT-S International Microwave Symposium - MTT 2009

    The IEEE International Microwave Symposium (IMS) is the world s foremost conference covering the UHF, RF, wireless, microwave, millimeter-wave, terahertz, and optical frequencies; encompassing everything from basic technologies to components to systems including the latest RFIC, MIC, MEMS and filter technologies, advances in CAD, modeling, EM simulation and more. The IMS includes technical and interactive sessions, exhibits, student competitions, panels, workshops, tutorials, and networking events.

  • 2008 IEEE/MTT-S International Microwave Symposium - MTT 2008

  • 2007 IEEE/MTT-S International Microwave Symposium - MTT 2007

  • 2006 IEEE/MTT-S International Microwave Symposium - MTT 2006

  • 2005 IEEE/MTT-S International Microwave Symposium - MTT 2005

  • 2004 IEEE/MTT-S International Microwave Symposium - MTT 2004

  • 2003 IEEE/MTT-S International Microwave Symposium - MTT 2003

  • 2002 IEEE/MTT-S International Microwave Symposium - MTT 2002

  • 2001 IEEE/MTT-S International Microwave Symposium - MTT 2001

  • 2000 IEEE/MTT-S International Microwave Symposium - MTT 2000

  • 1999 IEEE/MTT-S International Microwave Symposium - MTT '99

  • 1998 IEEE/MTT-S International Microwave Symposium - MTT '98

  • 1997 IEEE/MTT-S International Microwave Symposium - MTT '97

  • 1996 IEEE/MTT-S International Microwave Symposium - MTT '96


2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

The aim of this conference is to bring together academics, researchers, engineers and students worldwide to discuss the state-of-the-art technology and to present recent works related to the various aspects of all kinds of robots. Topics include but not limited to: Ubiquitous robots, Ambient intelligence, Network-based robotics, Human-robot interaction, Robot vision and audition, Sensor networks and sensor fusion, Robotic agents, Robot intelligence and learning, Intelligent space/environment technologies, Distributed robotics, Navigation and localization, Robot kinematics and dynamics, Robot control, Robotic mechanism and design, Control architecture and middleware, Haptics and teleoperation, Sensors and actuators, Medical/rehabilitation robotics, Humanoid robots, Field robots, Service robots, Industrial robots, Biorobotics and biomimetics, Robotic media and art, Internet of robotic things, Healthcare & life-care robots, etc.


2017 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

The 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS) will be held in Batumi, Georgia on December 5-8, 2017. As the flagship conference of IEEE Circuits and Systems Society in Region 8 of IEEE (Europe, Middle East, and Africa), ICECS 2017 will consist of tutorials, plenary lectures, regular, special and poster sessions focusing on recent trends, emerging technologies and advances in all aspects of:¿ Circuits ¿ Systems ¿ Signals ¿ Mathematical Methods ¿ Computational Methods ¿ Applications


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Periodicals related to Neurophysiology

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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.


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Evolutionary Computation, IEEE Transactions on

Papers on application, design, and theory of evolutionary computation, with emphasis given to engineering systems and scientific applications. Evolutionary optimization, machine learning, intelligent systems design, image processing and machine vision, pattern recognition, evolutionary neurocomputing, evolutionary fuzzy systems, applications in biomedicine and biochemistry, robotics and control, mathematical modelling, civil, chemical, aeronautical, and industrial engineering applications.


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Most published Xplore authors for Neurophysiology

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Xplore Articles related to Neurophysiology

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The basic diffusion model neuron cannot learn

A. Pacut Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000

We consider three classes of single neuron models, namely the network models typically used in neural networks, the diffusion models, and the jump- diffusion models directly related to neurophysiology. A limit passage in the jump-diffusion models leads to the diffusion models, while a simplification of the diffusion models leads to the network models. The diffusion models are very well known, ...


QEEG index for early detection of imbalanced conditions during aerobatics

Kittichai Tharawadeepimuk; Yodchanan Wongsawat 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

In this paper, the brain activity was studied and observed while person was in the loss of balance state due to vestibular system disorder. Brain activity was recorded as QEEG data which was analyzed by the Z-scored FFT method. The experimental results showed brain activities in the positions O1, O2, P3, P4, PZ, T5, and T6 in the forms of ...


Time dependent entropy analysis of multiunit activity in the cortex following the hypoxic-ischemic brain injury

Shanbao Tong; Ming Chieh Ding; N. V. Thakor First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings., 2003

Previous study has shown that the scalp electrical activity (e.g. EEG) could provide information on hypoxic-ischemic (HI) brain injury. The time dependent entropy (TDE) of EEG was applied as a means to segment the injury and recovery phases. A reduction in entropy during the injury was explained as the result of the spiking or bursting activity during the recovery of ...


Time-frequency and topographic representation of movement planning

K. J. Blinowska; J. Ginter; P. J. Durka; D. Ircha; W. Androsiuk Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N, 1999

High resolution time-frequency analysis of event related desynchronisation connected with movement planning was performed. Time evolution of closely spaced spectral components was followed


The separability of visual sensitivity into spatial frequency and motion velocity based on properties of natural images

D. W. Dong Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000

It is believed that vision is adapted to natural inputs. We investigate the relationship between natural time-varying image properties and visual sensitivities to spatial and motion signals. We hypothesize that the visual system is adapted to improve efficiency of visual representation through spatiotemporal decorrelation of input signals. The statistical properties of natural images, in particular, the power spectrum and the ...


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Educational Resources on Neurophysiology

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eLearning

The basic diffusion model neuron cannot learn

A. Pacut Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000

We consider three classes of single neuron models, namely the network models typically used in neural networks, the diffusion models, and the jump- diffusion models directly related to neurophysiology. A limit passage in the jump-diffusion models leads to the diffusion models, while a simplification of the diffusion models leads to the network models. The diffusion models are very well known, ...


QEEG index for early detection of imbalanced conditions during aerobatics

Kittichai Tharawadeepimuk; Yodchanan Wongsawat 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

In this paper, the brain activity was studied and observed while person was in the loss of balance state due to vestibular system disorder. Brain activity was recorded as QEEG data which was analyzed by the Z-scored FFT method. The experimental results showed brain activities in the positions O1, O2, P3, P4, PZ, T5, and T6 in the forms of ...


Time dependent entropy analysis of multiunit activity in the cortex following the hypoxic-ischemic brain injury

Shanbao Tong; Ming Chieh Ding; N. V. Thakor First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings., 2003

Previous study has shown that the scalp electrical activity (e.g. EEG) could provide information on hypoxic-ischemic (HI) brain injury. The time dependent entropy (TDE) of EEG was applied as a means to segment the injury and recovery phases. A reduction in entropy during the injury was explained as the result of the spiking or bursting activity during the recovery of ...


Time-frequency and topographic representation of movement planning

K. J. Blinowska; J. Ginter; P. J. Durka; D. Ircha; W. Androsiuk Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N, 1999

High resolution time-frequency analysis of event related desynchronisation connected with movement planning was performed. Time evolution of closely spaced spectral components was followed


The separability of visual sensitivity into spatial frequency and motion velocity based on properties of natural images

D. W. Dong Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000

It is believed that vision is adapted to natural inputs. We investigate the relationship between natural time-varying image properties and visual sensitivities to spatial and motion signals. We hypothesize that the visual system is adapted to improve efficiency of visual representation through spatiotemporal decorrelation of input signals. The statistical properties of natural images, in particular, the power spectrum and the ...


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IEEE.tv Videos

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IEEE-USA E-Books

  • Quantitative Neurophysiology

    Quantitative Neurophysiology is supplementary text for a junior or senior level course in neuroengineering. It may also serve as an quick-start for graduate students in engineering, physics or neuroscience as well as for faculty interested in becoming familiar with the basics of quantitative neuroscience. The first chapter is a review of the structure of the neuron and anatomy of the brain. Chapters 2-6 derive the theory of active and passive membranes, electrical propagation in axons and dendrites and the dynamics of the synapse. Chapter 7 is an introduction to modeling networks of neurons and artificial neural networks. Chapter 8 and 9 address the recording and decoding of extracellular potentials. The final chapter has descriptions of a number of more advanced or new topics in neuroengineering. Throughout the text, vocabulary is introduced which will enable students to read more advanced literature and communicate with other scientists and engineers working in the neurosciences. Nu erical methods are outlined so students with programming knowledge can implement the models presented in the text. Analogies are used to clarify topics and reinforce key concepts. Finally, homework and simulation problems are available at the end of each chapter.

  • 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

  • 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.

  • 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.

  • 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.

  • Receptors and Sampling

    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.

  • 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.

  • Static Determinants of Synaptic Strength

    This chapter contains sections titled: The Neurophysiology Of Neural Network Models, The Neurobiology Of A Biological Neural Network, Buccal Ganglia Synaptic Strengths Differ Both Statically And Dynamically, Cell And Network Properties Of The Buccal Ganglia Transcend Simplifying Assumptions Of Network Models, Backpropagation Imposes A Requirement For Retrograde Information Transfer, Buccal Ganglia Synaptic Strengths Are Specified By Postsynaptic Neurons, Postsynaptic Neurons Specify Presynaptic Quantal Release, Aplysia Neurobiological. Mechanisms Consistent With Retrosynaptic Information Transfer, Static And Dynamic Retrosynaptic Plasticity In Neurobiology, Retrosynaptic Mechanisms For Network Learning Rules, Acknowledgment



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