Brain

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The brain is the center of the nervous system in all vertebrate and most invertebrate animals. (Wikipedia.org)






Conferences related to Brain

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions 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 postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


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Periodicals related to Brain

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


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.


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Most published Xplore authors for Brain

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Xplore Articles related to Brain

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Model order sensitivity of Burg Method for EEG diagnosis

2008 IEEE 16th Signal Processing, Communication and Applications Conference, 2008

In the present study, eyes open and eyes closed EEG records of healthy volunteersa and intracrinal EEG records of epilepsy patiants are analysed by the Burg Method. The results of power spectral densities shows that clinical long EEG data correspondes with high order autoregressive (AR) model. The higher frequency resolution is obtained as empirically selected model order increases. High order ...


Differential genomic expression after in vitro mechanical injury of organotypic brain slice cultures

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

Traumatic brain injury (TBI) is responsible for approximately 80,000 permanently disabled persons per year, however, there is currently no pharmacological treatment for the head injured patient. The primary mechanical stimulus responsible for TBI occurs in less than a second, but is capable of initiating an extended cellular and molecular sequelae requiring hours or days or years to develop which results ...


The implementation methods of Chinese phonetic brain-machine interface based on DIVA model

The 27th Chinese Control and Decision Conference (2015 CCDC), 2015

DIVA(Direction Into Velocities Articulators) model is a mathematical model which describes the effect of the brain involved in speech production and speech understanding area that plays a role. It can do the simulation of pronunciation process. It has the guiding significance of the design for phonetic brain-machine interface system. The user only need to think about what kind of language ...


Brain emotional learning based adaptive identification method for nonlinear dynamic system

2008 Chinese Control and Decision Conference, 2008

A novel online identification by brain emotional learning (BEL) for nonlinear dynamic system is proposed in this paper. BEL is a bionic computational model which is inspired by the emotional learning process in the amygdala- orbitofrontal system of the mammalian brain. Online system identification scheme based on BEL is built up, in which BEL is applied to realize the identification ...


Detection of epilepsy seizures and epileptic indicators in EEG signals

2008 IEEE 16th Signal Processing, Communication and Applications Conference, 2008

Symptoms of epilepsy, which is characterized by abnormal brain electrical activity, can be observed on electroencephalography (EEG) signal. This paper employs models of chaotic measures of EEG and aims to help detection of epilepsy seizures and diagnosis of epileptic indicators in seizure-free signals.


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Educational Resources on Brain

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IEEE-USA E-Books

  • Model order sensitivity of Burg Method for EEG diagnosis

    In the present study, eyes open and eyes closed EEG records of healthy volunteersa and intracrinal EEG records of epilepsy patiants are analysed by the Burg Method. The results of power spectral densities shows that clinical long EEG data correspondes with high order autoregressive (AR) model. The higher frequency resolution is obtained as empirically selected model order increases. High order for AR modeling provides us to more sensitive diagnose in EEG analysis.

  • Differential genomic expression after in vitro mechanical injury of organotypic brain slice cultures

    Traumatic brain injury (TBI) is responsible for approximately 80,000 permanently disabled persons per year, however, there is currently no pharmacological treatment for the head injured patient. The primary mechanical stimulus responsible for TBI occurs in less than a second, but is capable of initiating an extended cellular and molecular sequelae requiring hours or days or years to develop which results in the death of brain cells. A more thorough understanding of these molecular changes, including alterations in gene expression, could suggest new therapies for the TBI patient to either ameliorate detrimental or augment beneficial aspects of the post-traumatic sequelae. A novel in vitro model of TBI was developed to produce a precise and reproducible mechanical injury of long term organotypic brain slice cultures (OBSC) at strains and strain rates thought to be responsible for in vivo TBI. At 24 h after in vitro stretch injury, the expression of BDNF, NGF, and TrkA was increased whereas that of bcl-2, CREB, and GAD/sub 65/ was decreased. These results imply that apoptosis may play a role in cell death after TBI and suggest new therapies for the patient including infusion of growth factors such as BDNF or NGF.

  • The implementation methods of Chinese phonetic brain-machine interface based on DIVA model

    DIVA(Direction Into Velocities Articulators) model is a mathematical model which describes the effect of the brain involved in speech production and speech understanding area that plays a role. It can do the simulation of pronunciation process. It has the guiding significance of the design for phonetic brain-machine interface system. The user only need to think about what kind of language that he wants to express. The phonetic brain-machine interface system can transform it into voice directly. The article aims at the design of Chinese phonetic brain-machine interface. First of all, gather the electro encephalo gram of the Chinese enunciators when they are speaking the Chinese pinyin pronunciation. Then combine the FMRI(functional magnetic resonance imaging) test that is associated with Chinese phonetic pronunciation. Use the method of common spatial patterns (CSP) to extract the electro encephalo gram features. Then do the classification of the features by using the Support Vector Machine. The result proves that this way has the high accuracy of the brain electrical signal recognition of the Chinese people's pinyin pronunciation. It can apply to the exploitation and design of the Chinese people's brain-computer interface.

  • Brain emotional learning based adaptive identification method for nonlinear dynamic system

    A novel online identification by brain emotional learning (BEL) for nonlinear dynamic system is proposed in this paper. BEL is a bionic computational model which is inspired by the emotional learning process in the amygdala- orbitofrontal system of the mammalian brain. Online system identification scheme based on BEL is built up, in which BEL is applied to realize the identification of the system in-output by adjusting the learning weights in A-O system adaptively. Simulation results of the system identification of a certain one-axis simulator show that BEL is characterized by fast learning speed and high identification precision.

  • Detection of epilepsy seizures and epileptic indicators in EEG signals

    Symptoms of epilepsy, which is characterized by abnormal brain electrical activity, can be observed on electroencephalography (EEG) signal. This paper employs models of chaotic measures of EEG and aims to help detection of epilepsy seizures and diagnosis of epileptic indicators in seizure-free signals.

  • Table-top air pressure-driven shock tube to induce a blast traumatic brain injury

    Mechanisms that lead to traumatic brain injury due to blast exposure (bTBI) are not well understood. Complexities of cellular responses involved have made identification of these mechanisms challenging. In-vitro studies of blast induced traumatic brain injury are possible with employment of shock tubes which closely mimic the loading conditions of blasts in a laboratory setting. A novel pneumatic, two-chamber shock tube has been developed to generate a span of mild to severe pressure waveforms seen in TBI literature [1–2]. Unlike other shock tubes utilized in TBI research, it is small, portable, controllable and most importantly safe to operate. The ultimate goal is to use this device to develop a blast induced traumatic brain injury animal model that can be used to explain the injury mechanism(s) and threshold levels of brain injury after blast exposure.

  • Quantification of injury-related EEG signal changes using distance measures

    Novel indicators based on distance measures are developed and compared to quantify changes in electroencephalogram signal resulting from hypoxic- asphyxic injury. An injury index is derived based on the measures. The Itakura distance-based index is found to have the highest correlation with the long- term outcome as measured by the neurological deficit scores.

  • Elucidation of Brain Activities by Electroencephalograms and its Application to Brain Computer Interface

    In order to develop a brain computer interface (BCI), the present author and his group, yamanoi group, have investigated the brain activity during human recognition of characters and symbols representing directional meaning. Subjects were asked to read them silently. Electroencephalograms (EEGs) were averaged for each stimulus type, and event related potentials (ERPs) were obtained. The equivalent current dipole source localization (ECDL) method has been applied to these ERPs. In both cases, ECDs were localized to areas related to the working memory for spatial perception, i. e. the right upper or the right middle frontal areas. And the opposite directional arrows had opposite dipoles in these areas. Taking into account these facts, the group recorded EEGs from subjects looking and recalling ten types of images of robot movement presented on a CRT. The group investigated a single trial EEGs of the subject precisely after the latency at 400 ms, and determined effective sampling latencies for the discriminant analysis to ten types of images. They sampled EEG data at latencies from 400 ms to 900 ms at 25 ms intervals by the four channels such as Fp2, F4, C4 and F8. Results of the discriminant analysis with jack knife (cross validation) method for ten type objective varieties, the discriminant rates for three subjects were almost 90 %. We could control a micro robot with ten commands only to recall corresponding movement image.

  • Working memory and spontaneous activity of cell assemblies. A biologically motivated computational model

    Many cognitive tasks require the ability to maintain and manipulate simultaneously several chunks of information. Numerous neurobiological observations have reported that this ability, known as the working memory, is strongly associated with the activity of the prefrontal cortex. Furthermore, during resting state, the spontaneous activity of the cortex exhibits exquisite spatiotemporal patterns sharing similar features with the ones observed during specific memory tasks. Here, we propose a computational model of the prefrontal cortex within the framework of the cell assembly theory. In that framework, dasiaa chunk of informationpsila refers to an associative memory and consists of an ensemble of neurons which activates coherently due to their strong interconnections. Our model consists of a recurrent network of cells whose dynamics results from the interplay between the membrane potential and the theta local field potential.

  • Prolog to the Section on Neurotechnological Systems: The Brain–Computer Interface

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Standards related to Brain

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