Conferences related to International Brain Research Organization

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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 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 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.


2020 IEEE International Electron Devices Meeting (IEDM)

the IEEE/IEDM has been the world's main forum for reporting breakthroughs in technology, design, manufacturing, physics and the modeling of semiconductors and other electronic devices. Topics range from deep submicron CMOS transistors and memories to novel displays and imagers, from compound semiconductor materials to nanotechnology devices and architectures, from micromachined devices to smart -power technologies, etc.


2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

One of the flagship conferences for the IEEE Robotics and Automation Society (RAS)


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Periodicals related to International Brain Research Organization

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Information Forensics and Security, IEEE Transactions on

Research on the fundamental contributions and the mathematics behind information forensics, information seurity, surveillance, and systems applications that incorporate these features.


Mechatronics, IEEE/ASME Transactions on

Synergetic integration of mechanical engineering with electronic and intelligent computer control in the design and manufacture of industrial products and processes. (4) (IEEE Guide for Authors) A primary purpose is to have an aarchival publication which will encompass both theory and practice. Papers will be published which disclose significant new knowledge needed to implement intelligent mechatronics systems, from analysis and ...


Professional Communication, IEEE Transactions on

The study, development, improvement, and promotion of techniques for preparing, organizing for use, processing, editing, collecting, conserving, and disseminating any form of information in the electrical and electronics fields.


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 ...


Systems Journal, IEEE

This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance.


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Most published Xplore authors for International Brain Research Organization

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Xplore Articles related to International Brain Research Organization

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Organization of the Brain in Light of the Big Data Philosophy

2014 Fifth International Conference on Computing for Geospatial Research and Application, 2014

The paper presents a computational scheme for the brain using Cloud Computing in the Holographic Universe. The surmised construction captures all the basic operational characteristics of the brain in health and disease.


Modular organization of intrinsic brain networks: A graph theoretical analysis of resting-state fMRI

2012 ICME International Conference on Complex Medical Engineering (CME), 2012

Recently, modular organization of intrinsic brain networks has been revealed by the graph theoretical analysis of resting-state functional MRI (rs-fMRI). In this paper, we introduce the concept of the graph theoretical analysis and modular organization. Then, we present the results of our analysis. In the graph theoretical analysis, intrinsic brain networks measured by rs-fMRI are modeled as the graphs (nodes ...


Exploration of the brain for optimal placement of BCI implants in paralyzed people

2014 International Winter Workshop on Brain-Computer Interface (BCI), 2014

Modern tools in human neuroscience provide valuable new ideas for Brain- Computer Interface solutions for paralyzed people. With the increasing interest in brain implants, a more detailed knowledge of the topographical organization is needed. Research with implants is severely limited to only experimental BCI implants or patients with electrodes implanted for diagnostic purposes, hence alternative methods for research are urgently ...


Segmentation of small animal PET/CT mouse brain scans using an MRI-based 3D digital atlas

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010

The work reported in this paper aimed at developing and testing an automated method to calculate the biodistribution of a specific PET tracer in mouse brain PET/CT images using an MRI-based 3D digital atlas. Surface-based registration strategy and affine transformation estimation were considered. Such an approach allowed overcoming the lack of anatomical information in the inner regions of PET/CT brain ...


Realistic human head voxel model for brain microwave imaging

2017 Iranian Conference on Electrical Engineering (ICEE), 2017

Numerical human phantoms are the models of human body used in numerical studies. This phantoms have extensive applications in radiation dosimetry as well as electromagnetic analysis. A detailed human body phantom could be considered as a great means for simulation and analysis of the electromagnetic phenomena and electrical devices adjacent to human body. In this work, a human head voxel ...


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Educational Resources on International Brain Research Organization

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IEEE.tv Videos

Local Activity, Memristor, and 137 - Leon Chua: 2016 International Conference on Rebooting Computing
Rebooting Computing: SRC Related Efforts - Steven Hillenius: 2016 International Conference on Rebooting Computing
IEEE Brain: Platypus Neuro : Applied Neuroscience and Optimized Human Performance at Scale
Brain Inspired Computing Systems - Luping Shi: 2016 International Conference on Rebooting Computing
Laura Specker Sullivan: Neuroscience & Brain Panel - Forecasting the Future by Looking at the Past - TTM 2018
A Conversation About Mind/Brain Research and AI Development: IEEE TechEthics Interview
Brave New Brain-Tech | IEEE TechEthics Panel
The EU Human Brain Project - A Systematic Path from Data to Synthesis
Mind/Brain Research and AI Development: How Do They Inform Each Other? - IEEE TechEthics Panel
EMBC 2011-Panel Discussion-Frontiers and Future Trends in Brain-Machine Interface
Q&A with Dr. Maryam Shanechi: IEEE Brain Podcast, Episode 6 Part 1
Q&A with Dr. Al Emondi: IEEE Brain Podcast, Episode 13
Q&A with Dr. Jennifer Gelinas: IEEE Brain Podcast, Episode 8
Brain Panelist - James Kozloski: 2016 Technology Time Machine
Q&A with Emery Brown: IEEE Brain Podcast, Episode 3
Christoph Guger: Neuroscience & Brain Panel - The Future of Non-invasive Brain-computer Interfaces - TTM 2018
Robotics History: Narratives and Networks Oral Histories: Chris Atkeson
IEEE Brain: Backyard Brains: How We Bootstrapped a Low-Fi, High-Tech Neuroscience Company
Q&A with Eric Perreault: IEEE Brain Podcast, Episode 1
ComSoc Digital Library

IEEE-USA E-Books

  • Organization of the Brain in Light of the Big Data Philosophy

    The paper presents a computational scheme for the brain using Cloud Computing in the Holographic Universe. The surmised construction captures all the basic operational characteristics of the brain in health and disease.

  • Modular organization of intrinsic brain networks: A graph theoretical analysis of resting-state fMRI

    Recently, modular organization of intrinsic brain networks has been revealed by the graph theoretical analysis of resting-state functional MRI (rs-fMRI). In this paper, we introduce the concept of the graph theoretical analysis and modular organization. Then, we present the results of our analysis. In the graph theoretical analysis, intrinsic brain networks measured by rs-fMRI are modeled as the graphs (nodes linked by edges). Then, a module is defined as a group of highly inter-connected nodes which have relatively sparse connections to nodes in other modules. Recently, effective module detection methods have been proposed, and applied to rs-fMRI. In our study, rs-fMRI data were collected from 18 healthy young participants, and we detected the modules from a group level graph with fine spatial resolution. As a result, we found 6 dominant modules (default-mode, fronto-parietal, cingulo-opercular, sensorimotor, visual, and auditory). These modules were also detected when another module detection method was applied. Then, nodes were classified according to their roles based on their intra-module and inter-module connections. We found that majority of brain regions were classified as peripheral nodes which mostly connect with nodes within their modules. Interestingly, fronto-parietal module which consists of transmodal higher- order brain regions had more connector nodes (connecting with other modules) than unimodal visual and sensorimotor modules. This suggested that modular organization in intrinsic brain networks can reflect functional properties of brain systems.

  • Exploration of the brain for optimal placement of BCI implants in paralyzed people

    Modern tools in human neuroscience provide valuable new ideas for Brain- Computer Interface solutions for paralyzed people. With the increasing interest in brain implants, a more detailed knowledge of the topographical organization is needed. Research with implants is severely limited to only experimental BCI implants or patients with electrodes implanted for diagnostic purposes, hence alternative methods for research are urgently needed. We have shown that fMRI conducted with a 7 Tesla human MRI scanner, can fulfill the role of non-invasive research tool for new approaches in BCI. In this paper I discuss what 7T fMRI can reveal and present several examples of new insights relevant for BCI.

  • Segmentation of small animal PET/CT mouse brain scans using an MRI-based 3D digital atlas

    The work reported in this paper aimed at developing and testing an automated method to calculate the biodistribution of a specific PET tracer in mouse brain PET/CT images using an MRI-based 3D digital atlas. Surface-based registration strategy and affine transformation estimation were considered. Such an approach allowed overcoming the lack of anatomical information in the inner regions of PET/CT brain scans. Promising results were obtained in one mouse (on two scans) and will be extended to a neuroinflammation mouse model to characterize the pathology and its evolution. Major improvements are expected regarding automation, time computation, robustness and reproducibility of mouse brain segmentation. Due to its generic implementation, this method could be successfully applied to PET/CT brain scans of other species (rat, primate) for which 3D digital atlases are available.

  • Realistic human head voxel model for brain microwave imaging

    Numerical human phantoms are the models of human body used in numerical studies. This phantoms have extensive applications in radiation dosimetry as well as electromagnetic analysis. A detailed human body phantom could be considered as a great means for simulation and analysis of the electromagnetic phenomena and electrical devices adjacent to human body. In this work, a human head voxel model is developed for use in CST Studio Suit commercial software pack using an improved voxels set which is extracted from MRI images of a human head. The proposed voxel model contains 256×256×128 voxels elements with dimensions of 1.1×1.1×1.4 mm. Moreover, the dispersive dielectric properties of head tissues as well as their density and thermal conductivity were embedded.

  • The relationships between the identified critical nodes within DTI-based brain structural network using hub measurements and vulnerability measurement

    Network analysis of human brain connectivity based on graph theory has consistently identified sets of regions that are critically important for enabling efficient information integration and communication, especially for the understanding of cognitive functions, the discoveries of aging effects and the network change due to brain diseases. Two major approaches, hub measurement (HM) and vulnerability measurement (VM), have been proposed to detect these `important nodes' within brain network organization. However, the relationship between the spatial localization and the number of these identified nodes found using HM and VM approaches respectively is still unknown. In this study, we aim to figure out the relationships between the identified critical nodes of brain network based on various HM and VM methods with DTI-based structural brain network. Two factors of parcellation atlases and level of scale are also considered to address the effects in the definition of these nodes. From the results, the great consistency is existed between the node identification using HM and VM approaches in the same atlases, but the divergence between different atlases and level of node scale.

  • Exploring human brain activation via nested sparse coding and functional operators

    Traditional task-based fMRI activation detection methods, such as the general linear model (GLM), assume that the fMRI signals of activated brain regions follow the external stimulus paradigm. Typically, these activated regions are detected independently in a voxel-wise fashion, and the interaction among voxels is nevertheless neglected. Despite the wide use and remarkable success of GLM, the temporal and spatial relationships among activated regions remain unveiled. In response to this challenge, we present a novel method that combines two-stage sparse representation framework and the operator modulations (integral and derivative) to explore the temporal and spatial organizations underlying fMRI-derived activations in the brain. The two-stage sparse representation framework is designed to deal with big data and the functional operator is focused on finding the refined activation areas in the brain under task performances. Experiments demonstrated that diverse temporal and spatial organizations between activated regions exist and different functional operators may lead to different activation areas, thus significantly supplementing to the available principle of GLM that has been widely used in the human brain mapping field.

  • Development of the “rich club” in brain connectivity networks from 438 adolescents & adults aged 12 to 30

    The `rich club' coefficient describes a phenomenon where a network's hubs (high-degree nodes) are on average more intensely interconnected than lower- degree nodes. Networks with rich clubs often have an efficient, higher-order organization, but we do not yet know how the rich club emerges in the living brain, or how it changes as our brain networks develop. Here we chart the developmental trajectory of the rich club in anatomical brain networks from 438 subjects aged 12-30. Cortical networks were constructed from 68x68 connectivity matrices of fiber density, using whole-brain tractography in 4-Tesla 105-gradient high angular resolution diffusion images (HARDI). The adult and younger cohorts had rich clubs that included different nodes; the rich club effect intensified with age. Rich-club organization is a sign of a network's efficiency and robustness. These concepts and findings may be advantageous for studying brain maturation and abnormal brain development.

  • Effects of non-linear correlation measures on brain functional connectivity in Parkinson’s disease

    Parkinson's disease (PD) is one of the most prevalent and growing disorders. The most reason for this disease is the abnormalities in brain functional organization of PD patients. Functional magnetic resonance imaging in the resting state (rs-fMRI) is a useful technique to assess brain dysfunctions in patients. The objective of our research is to generate the closest model of complex brain network by different approaches. Hence we constructed the brain graphs employing one linear and three non-linear correlation metrics in order to investigate complicated relations among signals. The local and global metrics of the produced correlation matrices were extracted utilizing graph theory. Evaluating centralization, a global metric, exhibited a decrease in PD patients compared with healthy controls. In addition, we investigated significant changes of nodal degree in patients. The achieved results on graph measures implied alterations of brain functional connectivity. To conclude, we disclosed new findings in brain functional networks of PD patients by non- linear correlation measures.

  • Synaptic integrators implement inhibitory plasticity, eliminate loops and create a “winnerless” Network

    Here we discuss synaptic temporal integrators capable of computing plasticity functions between principal neurons which are inhibitory to yield a useful network dynamic. We model inhibitory spike-timing-dependent plasticity (iSTDP), parameterized by two thresholds of a pre- and post-synaptic leaky integrator. Because inhibitory synapses between principal neurons do not occur onto spines, but instead onto larger compartments of the dendritic shaft, the integrator in our model is slower than those used to model excitatory synapses onto spines. We implemented continuous iSTDP in our simulation of an all- inhibitory network and demonstrate here for the first time its ability to eliminate loops. We show how this specific circuit topology emerges and is closely related to that observed in models of recurrent excitatory networks. In addition, we show how this topology can generate a type of dynamics called “winnerless” in a subcortical brain structure called striatum, which also displays a loop-free topology. These properties are reviewed in the context of dynamic programming and the striatum's modulation of global brain topology via inhibitory gating of thalamus under the control of dopamine rewards-based learning.



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