Neuroscience

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Neuroscience is the scientific study of the nervous system. (Wikipedia.org)






Conferences related to Neuroscience

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2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)

Neural Engineering

  • 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural Engineering is an emerging core discipline,which coalesces neuroscience with engineering.Members of both the Neuroscience and Engineering Communities areencouraged to attend this highly multidisciplinarymeeting. The conference will highlight the emergingengineering innovations in the restoration andenhancement of impaired sensory, motor, andcognitive functions, novel engineering for deepeningknowledge of brain function, and advanced designand use of neurotechnologies

  • 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural engineering deals with many aspects of basic and clinical problemsassociated with neural dysfunction including the representation of sensory and motor information, theelectrical stimulation of the neuromuscular system to control the muscle activation and movement, theanalysis and visualization of complex neural systems at multi -scale from the single -cell and to the systemlevels to understand the underlying mechanisms, the development of novel neural prostheses, implantsand wearable devices to restore and enhance the impaired sensory and motor systems and functions.

  • 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction including the representation of sensory and motor information, the electrical stimulation of the neuromuscular system to control the muscle activation and movement, the analysis and visualization of complex neural systems at multi-scale from the single-cell and to the system levels to understand the underlying mechanisms, the development of novel neural prostheses, implants and wearable devices to restore and enhance the impaired sensory and motor systems and functions.

  • 2011 5th International IEEE/EMBS Conference on Neural Engineering (NER)

    highlight the emerging field, Neural Engineering that unites engineering, physics, chemistry, mathematics, computer science with molecular, cellular, cognitive and behavioral neuroscience and encompasses such areas as replacing or restoring lost sensory and motor abilities, defining the organizing principles and underlying mechanisms of neural systems, neurorobotics, neuroelectronics, brain imaging and mapping, cognitive science and neuroscience.

  • 2009 4th International IEEE/EMBS Conference on Neural Engineering (NER)

    highlight the emerging field, Neural Engineering that unites engineering, physics, chemistry, mathematics, computer science with molecular, cellular, cognitive and behavioral neuroscience and encompasses such areas as replacing or restoring lost sensory and motor abilities, defining the organizing principles and underlying mechanisms of neural systems, neurorobotics, neuroelectronics, brain imaging and mapping, cognitive science and neuroscience.

  • 2007 3rd International IEEE/EMBS Conference on Neural Engineering

  • 2005 2nd International IEEE/EMBS Conference on Neural Engineering

  • 2003 1st International IEEE/EMBS Conference on Neural Engineering


2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

This conference is the annual premier meeting on the use of instrumentation in the Nuclear and Medical fields. The meeting has a very long history of providing an exciting venue for scientists to present their latest advances, exchange ideas, renew existing collaboration and form new ones. The NSS portion of the conference is an ideal forum for scientists and engineers in the field of Nuclear Science, radiation instrumentation, software engineering and data acquisition. The MIC is one of the most informative venues on the state-of-the art use of physics, engineering, and mathematics in Nuclear Medicine and related imaging modalities, such as CT and increasingly so MRI, through the development of hybrid devices


2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

robotics, intelligent systems, automation, mechatronics, micro/nano technologies, AI,


2019 International Conference on Robotics and Automation (ICRA)

Flagship conference of the robotics and automation society, a premiere international venue for international robotics researchers


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Periodicals related to Neuroscience

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Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


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 Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


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.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


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Most published Xplore authors for Neuroscience

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Xplore Articles related to Neuroscience

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CB: Exploring neuroscience with a humanoid research platform

2008 IEEE International Conference on Robotics and Automation, 2008

In this video presentation we introduce a 50 degrees of freedom humanoid robot, CB - <i>Computational</i> <i>Brain</i> [1]. CB is a humanoid robot created for exploring the underlying processing of the human brain while dealing with the real world. We place our investigations within real world contexts, as humans do. In so doing, we focus on utilising a system that ...


Using interactive virtual characters in social neuroscience

2015 IEEE Virtual Reality (VR), 2015

In recent years, the use of Virtual Characters in experimental studies has opened new research avenues in social neuroscience. In this paper, we present the design, implementation, and preliminary results of two case studies exploring different types of social cognition using interactive Virtual Characters animated with motion captured data.


Integrating Model-Based Approaches Into a Neuroscience Curriculum—An Interdisciplinary Neuroscience Course in Engineering

IEEE Transactions on Education, 2019

Contribution: This paper demonstrates curricular modules that incorporate engineering model-based approaches, including concepts related to circuits, systems, modeling, electrophysiology, programming, and software tutorials that enhance learning in undergraduate neuroscience courses. These modules can also be integrated into other neuroscience courses. Background: Educators in biological and physical sciences urge incorporation of computation and engineering approaches into biology. Model-based approaches can provide ...


CB: A Humanoid Research Platform for Exploring NeuroScience

2006 6th IEEE-RAS International Conference on Humanoid Robots, 2006

This paper presents a 50 degrees of freedom humanoid robot, CB -Computational Brain. CB is a humanoid robot created for exploring the underlying processing of the human brain while dealing with the real world. We place our investigations within real world contexts, as humans do. In so doing, we focus on utilising a system that is closer to humans - ...


How computational neuroscience could help improving face recognition systems?

2014 4th International Conference on Computer and Knowledge Engineering (ICCKE), 2014

Computational neuroscience is a growing discipline in science, which tries to understand the operations of human brain and inspire from it as a new computational paradigm. Face recognition is an important question both in pattern recognition and neuroscience. In the last few years, neuroscientists found many facts about object recognition in primate's brain. Here, we propose a cortex inspired face ...


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Educational Resources on Neuroscience

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IEEE-USA E-Books

  • CB: Exploring neuroscience with a humanoid research platform

    In this video presentation we introduce a 50 degrees of freedom humanoid robot, CB - <i>Computational</i> <i>Brain</i> [1]. CB is a humanoid robot created for exploring the underlying processing of the human brain while dealing with the real world. We place our investigations within real world contexts, as humans do. In so doing, we focus on utilising a system that is closer to humans - in sensing, kinematics configuration and performance. We present a full-body compliance controller that was developed for the motion control of our humanoid robot [2]. Our initial experimentation on our system includes: 1) full-body compliant control - physical interactions/balancing/motion control; 2) the integrated visual ocular-motor responses; 3) perception and control - reaching, foveation, and active object recognition; 4) our studies of Central Pattern Generator for walking.

  • Using interactive virtual characters in social neuroscience

    In recent years, the use of Virtual Characters in experimental studies has opened new research avenues in social neuroscience. In this paper, we present the design, implementation, and preliminary results of two case studies exploring different types of social cognition using interactive Virtual Characters animated with motion captured data.

  • Integrating Model-Based Approaches Into a Neuroscience Curriculum—An Interdisciplinary Neuroscience Course in Engineering

    Contribution: This paper demonstrates curricular modules that incorporate engineering model-based approaches, including concepts related to circuits, systems, modeling, electrophysiology, programming, and software tutorials that enhance learning in undergraduate neuroscience courses. These modules can also be integrated into other neuroscience courses. Background: Educators in biological and physical sciences urge incorporation of computation and engineering approaches into biology. Model-based approaches can provide insights into neural function; prior studies show these are increasingly being used in research in biology. Reports about their integration in undergraduate neuroscience curricula, however, are scarce. There is also a lack of suitable courses to satisfy engineering students' interest in the challenges in the growing area of neural sciences. Intended Outcomes: (1) Improved student learning in interdisciplinary neuroscience; (2) enhanced teaching by neuroscience faculty; (3) research preparation of undergraduates; and 4) increased interdisciplinary interactions. Application Design: An interdisciplinary undergraduate neuroscience course that incorporates computation and model-based approaches and has both software- and wet-lab components, was designed and co-taught by colleges of engineering and arts and science. Findings: Model-based content improved learning in neuroscience for three distinct groups: 1) undergraduates; 2) Ph.D. students; and 3) post- doctoral researchers and faculty. Moreover, the importance of the content and the utility of the software in enhancing student learning was rated highly by all these groups, suggesting a critical role for engineering in shaping the neuroscience curriculum. The model for cross-training also helped facilitate interdisciplinary research collaborations.

  • CB: A Humanoid Research Platform for Exploring NeuroScience

    This paper presents a 50 degrees of freedom humanoid robot, CB -Computational Brain. CB is a humanoid robot created for exploring the underlying processing of the human brain while dealing with the real world. We place our investigations within real world contexts, as humans do. In so doing, we focus on utilising a system that is closer to humans - in sensing, configuration and performance. The real-time network-based control architecture for the control of all 50 degrees of freedom will be presented. The controller provides full position/velocity/force sensing and control at 1 KHz, allowing us the flexibility in deriving various forms of control schemes. Three aspects of the system are highlighted in this paper: 1) physical power for walking; 2) full- body compliant control - physical interactions; 3) perception and control - visual ocular-motor responses

  • How computational neuroscience could help improving face recognition systems?

    Computational neuroscience is a growing discipline in science, which tries to understand the operations of human brain and inspire from it as a new computational paradigm. Face recognition is an important question both in pattern recognition and neuroscience. In the last few years, neuroscientists found many facts about object recognition in primate's brain. Here, we propose a cortex inspired face recognition system which uses some findings about the brain such as the operations of feature extractor cells in visual cortex and the function of attention in discarding distracting parts of the images. Now it is the time to merge the knowledge of learning systems with biological findings. The proposed method named Advanced Neurologically Inspires Face recognition (ANIF) system is compared with previous model NIF and some well- known face recognition algorithms within different datasets, which shows remarkable results.

  • A survey of recent developments in management cognitive neuroscience and machine learning in educational environment

    The field of cognitive neuroscience concerns the intelligence, feelings and the ability to make decisions. Considering these subdivision, this work presents recents studies of brain mapping and the use of machine learning in educational environment. The state-of-the-art of cognitive neuroscience and machine learning are presented in the context, in order to reinforce and rethinking the interconnection of technology with educational development.

  • Simultaneous PET-MR-EEG: Technology, Challenges and Application in Clinical Neuroscience

    Due to technological developments in PET detectors and PET-MR integration, the simultaneous measurement of PET-MR-EEG has become feasible, offering the possibility of exploring the complementary information provided by each modality. Studies have already shown the benefits of simultaneous measurement using PET-MR, however, such achievements come with different technical and practical challenges. In this context, we aim to give an overview of the technical challenges involved in integrating EEG with hybrid PET-MR scanners and demonstrate possible solutions. When acquiring simultaneous data from multiple modalities, the data acquisition protocol should be optimised in order to utilise time and complementary information most effectively. Thus, practical considerations with regard to protocol optimisation are also discussed, alongside relevant examples. In addition to simultaneous data acquisition, another major challenge is the integration of the multimodal data, which is also addressed. Finally, a clinical application with a strong focus on neuro-psychiatry is shown. This clinical application is discussed with relevant examples from an ongoing clinical study. Finally, the possibility of utilising the PET-MR-EEG data in search for new biomarkers for individualised medicine in clinical neuroscience is briefly explored.

  • A new flat interface nerve electrode design scheme based on finite element method, genetic algorithm and computational neuroscience method

    A study of motor nerve stimulation by flat interface nerve electrodes (FINE) using a new cuff electrode design based on finite element method, genetic algorithm and computational neuroscience method is presented. The purpose of this study is to obtain optimized parameters of electrode model for higher motor nerve stimulation efficiency. In this paper, the application for the focus stimulation on target fascicle is presented

  • Neuroinformatics: development of shared neuroscience databases and tools at the Australian National Neuroscience Facility

    The Australian National Neuroscience Facility (NNF) is providing Australian neuroscientists with access to networks of laboratories offering neuroscience consultancy, technical expertise and state-of-the-art equipment. The facility is fostering neuroscience excellence, combining science, technology, innovation, investment, creativity and the opportunity to advance our understanding and treatment of the brain and mind. Within the NNF a neuroscience informatics platform has being established as one Australian node of developing international collaborative neuroinformatics projects. The platform is aimed at enhancing both the national neuroscience research capability as well as the commercialisation opportunities for the Australian health and biotechnology industries. This paper describes some of the initiatives to achieve international collaborative neuroscience, and would review current Australian activities related to the development of multi- national neuroinformatics research activities. The organizational structure and objectives of the NNF and its role in contributing to the development of the Australian biotechnology industry are also outlined.

  • Keynote speaker: Olaf Blanke: Experience engineering, neuroscience research and medical applications

    Modern robotic and haptic technology in the form of surgical robotics, prosthetics and rehabilitation robotics has been widely applied for the improvement of surgical procedures, the training of new abilities, and the restoration of lost sensorimotor functions. However, despite these important achievements, I believe that robotic devices are not sufficiently employed to study or enhance consciousness and cognition: the most important and astonishing features of the human mind (cognetics) (Rognini & Blanke, 2016). Cognetics and cognetic devices are haptic interfaces able to render and combine artificial multisensory stimuli with movement and related motor signals, based on recent findings that perception and bodily awareness, including complex sensations, is based on multisensory and sensorimotor integration. In this talk, I will, first, introduce our cognetics-based experimental approach and describe our latest research findings using new robotic-haptic interfaces as applied to the neuroscience of consciousness and bodily awareness. Second, I will describe our ongoing translational studies in robotic psychiatry where we investigate the diagnostic potential of our robotic devices in patients with schizophrenia that suffer from alterations of consciousness such as hallucinations and delusions.



Standards related to Neuroscience

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No standards are currently tagged "Neuroscience"