Central nervous system

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The central nervous system (CNS) is the part of the nervous system that integrates the information that it receives from, and coordinates the activity of, all parts of the bodies of bilaterian animals—that is, all multicellular animals except sponges and radially symmetric animals such as jellyfish. (Wikipedia.org)






Conferences related to Central nervous system

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2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)

The RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics - BioRob 2018 - is a joint effort of the two IEEE Societies of Robotics and Automation - RAS - and Engineering in Medicine and Biology - EMBS.BioRob covers both theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. The primary focus of Biorobotics is to analyze biological systems from a "biomechatronic" point of view, trying to understand the scientific and engineering principles underlying their extraordinary performance. This profound understanding of how biological systems work, behave and interact can be used for two main objectives: to guide the design and fabrication of novel, high performance bio-inspired machines and systems for many different applications; and to develop novel nano, micro-, macro- devices that can act upon, substitute parts of, and assist human beings in prevention, diagnosis, surgery, prosthetics, rehabilitation.


2018 IEEE Technology Time Machine (TTM)

Predicting, and more importantly how to get to the future is always a challenge and a desire. The IEEE rises to that challenge based upon the work it does on multiple new and emerging technologies through serving as a catalyst for developing new innovations, products and services. Invited subject matter experts will share their predictions and hot to get to that future.

  • 2016 IEEE Technology Time Machine (TTM)

    Predicting – and making - the future is always a challenge and a desire. The IEEE rises to that challenge based upon the work it does on multiple new and emerging technologies through serving as a catalyst for developing new innovations, products and services.

  • 2014 IEEE Technology Time Machine (TTM)

    2014 TTM is a unique event for industry leaders, academics and decision making government officials to explore the interplay of science, technology, society, and economics in the shaping of the Future in a connected World where local innovation and global context are mutually affecting one another. Six

  • 2012 IEEE Technology Time Machine (TTM)

    TTM is a unique event for industry leaders, academics and decision making government officials who direct R&D activities, plan research programs or manage portfolios of research activities. This event will cover in a tutorial way a selected set of potentially high impact emerging technologies, their current state of maturity and scenarios for the future. All the presentations in this Symposium are given by invited World leading experts. The Symposium is structured to facilitate informal discussions among the participants and speakers.

  • 2011 IEEE Technology Time Machine (TTM)

    Assessment of Future Technologies


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 12th International Forum on Strategic Technology (IFOST)

New materials and nanotechnologies , Information and communication technologies , Information and communication technologies , Power engineering and electric power electronics , etc


2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)

CCGrid is a successful series of conferences that serves as the major international forum for presenting and sharing recent research results and technological developments in the fields of Cluster, Cloud and Grid computing. The CCGrid symposium, which is sponsored by the IEEE Computer Society Technical Committee on Scalable Computing (TCSC) and the ACM, reaches out to both researchers and practitioners, and to both academia and industry. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations. CCGrid 2017 will have a focus on important and immediate issues that are significantly influencing all aspects of cluster, cloud and grid computing. Topics of interest include, but are not limited to:Applications, Architecture and Networking,Data Centers,Programming Models and Runtimes,Performance Models and Evaluation,Scheduling and Resource ManagementHybrid clouds, Storage and IO, Security, Rel


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Periodicals related to Central nervous system

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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.


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.


Magnetics, IEEE Transactions on

Science and technology related to the basic physics and engineering of magnetism, magnetic materials, applied magnetics, magnetic devices, and magnetic data storage. The Transactions publishes scholarly articles of archival value as well as tutorial expositions and critical reviews of classical subjects and topics of current interest.


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 ...


Microwave Theory and Techniques, IEEE Transactions on

Microwave theory, techniques, and applications as they relate to components, devices, circuits, and systems involving the generation, transmission, and detection of microwaves.


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Most published Xplore authors for Central nervous system

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Xplore Articles related to Central nervous system

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Adaptive organization of generalized behavioral concepts for autonomous robots: schema-based modular reinforcement learning

T. Taniguchi; T. Sawaragi 2005 International Symposium on Computational Intelligence in Robotics and Automation, 2005

In this paper, we introduce a reinforcement learning method for autonomous robots to obtain generalized behavioral concepts. Reinforcement learning is a well formulated method for autonomous robots to obtain a new behavioral concept by themselves. However, these behavioral concepts cannot be applied to other environments that are different from the place where the robots have learned the concepts. On the ...


Building a mathematical model of the head-neck system; modeling and simulation of the 6-degree of freedom head movement

Y. Mitelman; J. Enderle Proceedings of the IEEE 27th Annual Northeast Bioengineering Conference (Cat. No.01CH37201), 2001

The head carries most of the sensory systems that enable us to function effectively in our 3-dimensional environment. Without adequate head movement control, efficient special orientation and motor responses to visual and auditory stimuli could not be carried out. In order to fully understand and predict the head trajectory in the 3-dimensional space, three-dimensional and mathematical models of the head-neck ...


A Novel High Channel-Count System for Acute Multisite Neuronal Recordings

U. G. Hofmann; A. Folkers; F. Mosch; T. Malina; K. M. L. Menne; G. Biella; P. Fagerstedt; E. De Schutter; W. Jensen; K. Yoshida; D. Hoehl; U. Thomas; M. G. Kindlundh; P. Norlin; M. De Curtis IEEE Transactions on Biomedical Engineering, 2006

Multisite recording represents a suitable condition to study microphysiology and network interactions in the central nervous system and, therefore, to understand brain functions. Several different materials and array configurations have been proposed for the development of new probes utilized to record brain activity from experimental animal models. We describe new multisite silicon probes that broaden the currently available application base ...


Combination of self organizing maps and feedforward nets inspired by population coding

Steffen Harneit 2008 World Automation Congress, 2008

Self-organizing feature maps and feedforward nets trained with the backpropagation algorithm are the most common used and the most analyzed artificial neural nets. Although a combination of them, called counterpropagation, already had been proposed, its full capabilities had not been recognized. In this paper an extension of this net structure is proposed, which takes into account the whole activity pattern ...


Stochastic Learning and a Quantal Model of Signal Detection

D. A. Norman IEEE Transactions on Applications and Industry, 1964

Psychologists approach problems differently from engineers, in that they are concerned with actual, not optimal, behavior. They ask what mechanisms humans use, how their behavior can best be described, and what affects their performance. This paper will discuss one such behavioral problem, the way in which a change in an auditory signal is detected. It will be necessary to consider ...


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Educational Resources on Central nervous system

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eLearning

Adaptive organization of generalized behavioral concepts for autonomous robots: schema-based modular reinforcement learning

T. Taniguchi; T. Sawaragi 2005 International Symposium on Computational Intelligence in Robotics and Automation, 2005

In this paper, we introduce a reinforcement learning method for autonomous robots to obtain generalized behavioral concepts. Reinforcement learning is a well formulated method for autonomous robots to obtain a new behavioral concept by themselves. However, these behavioral concepts cannot be applied to other environments that are different from the place where the robots have learned the concepts. On the ...


Building a mathematical model of the head-neck system; modeling and simulation of the 6-degree of freedom head movement

Y. Mitelman; J. Enderle Proceedings of the IEEE 27th Annual Northeast Bioengineering Conference (Cat. No.01CH37201), 2001

The head carries most of the sensory systems that enable us to function effectively in our 3-dimensional environment. Without adequate head movement control, efficient special orientation and motor responses to visual and auditory stimuli could not be carried out. In order to fully understand and predict the head trajectory in the 3-dimensional space, three-dimensional and mathematical models of the head-neck ...


A Novel High Channel-Count System for Acute Multisite Neuronal Recordings

U. G. Hofmann; A. Folkers; F. Mosch; T. Malina; K. M. L. Menne; G. Biella; P. Fagerstedt; E. De Schutter; W. Jensen; K. Yoshida; D. Hoehl; U. Thomas; M. G. Kindlundh; P. Norlin; M. De Curtis IEEE Transactions on Biomedical Engineering, 2006

Multisite recording represents a suitable condition to study microphysiology and network interactions in the central nervous system and, therefore, to understand brain functions. Several different materials and array configurations have been proposed for the development of new probes utilized to record brain activity from experimental animal models. We describe new multisite silicon probes that broaden the currently available application base ...


Combination of self organizing maps and feedforward nets inspired by population coding

Steffen Harneit 2008 World Automation Congress, 2008

Self-organizing feature maps and feedforward nets trained with the backpropagation algorithm are the most common used and the most analyzed artificial neural nets. Although a combination of them, called counterpropagation, already had been proposed, its full capabilities had not been recognized. In this paper an extension of this net structure is proposed, which takes into account the whole activity pattern ...


Stochastic Learning and a Quantal Model of Signal Detection

D. A. Norman IEEE Transactions on Applications and Industry, 1964

Psychologists approach problems differently from engineers, in that they are concerned with actual, not optimal, behavior. They ask what mechanisms humans use, how their behavior can best be described, and what affects their performance. This paper will discuss one such behavioral problem, the way in which a change in an auditory signal is detected. It will be necessary to consider ...


More eLearning Resources

IEEE-USA E-Books

  • Operational Aspects of Some Fundamental Concepts of Human Communication

    This chapter contains sections titled: The Subjective Aspect, The Operational Effect of Information, The Central Nervous System, The Physical Representation of the Perceived World, Meaning, Relevance, The Communication Process, Conclusion, Postscript

  • Diseases and Injuries of the Central Nervous System Leading to Sensory-Motor Impairment

    Damage to the central and peripheral nervous systems is associated with a loss of motor drive and a defective afferent input to the central nervous system (CNS). This chapter starts with a presentation of neuron injury. The injuries are categorized based on the extent and type of damage to the nerve and the surrounding connective tissue. The chapter addresses sensory - motor deficits that are caused by neuron injury or disease: (a) cerebrovascular accident (CVA), or stroke, which causes impairments due to changes in blood supply to the brain; (b) spinal cord injuries (SCIs), which result in total or partial obstruction of flow of both sensory and motor information between the peripheral and central nervous systems; (c) nontraumatic disorders of the CNS (amyotrophic lateral sclerosis and multiple sclerosis); and (d) cerebral palsy (CP). Finally, the chapter presents the incidence of CNS diseases.

  • Muscle Coordination, Motor Synergies, and Primitives from Surface EMG

    To investigate neural control strategies, muscle activity must be measured during motor behavior. Recent advances in the investigation of the neural control of movement have led to a re-examination of the mechanisms of sensorimotor integration in the central nervous system (CNS) and in the spinal circuitry in particular. This chapter considers different approaches used to uncover the modular organization of the motor output in human behaviors such as responding to postural perturbations, reaching with the arm, and locomotion, as well as its plasticity and flexibility in movement disorders. It also investigates the strategies that the CNS employs to coordinate the activation of many muscles start from electromyographic (EMG) signals recorded simultaneously from many muscles. Different muscle synergies models are used to decompose the EMG envelopes using appropriate factorization algorithms. The chapter further considers the spatiotemporal organization of the activity patterns of leg and trunk muscles during locomotion.

  • Development of a Testbed for Robotic Neuromuscular Controllers

    Current control approaches to robotic legged locomotion rely on centralized planning and tracking or motion pattern matching. Central control is not available to robotic assistive devices that integrate with humans, and matching predefined patterns severely limits user dexterity. By contrast, biological systems show substantial legged dexterity even when their central nervous system is severed from their spinal cord, indicating that neuromuscular feedback controls can be harnessed to encode stability, adaptability, and maneuverability into legged systems. Here we present the initial steps to develop a robotic gait testbed that can implement and verify neuromuscular controls for robotic assistive devices. The initial stage consists of an antagonistically actuated two segment leg with a floating compliant joint. We detail its electromechanical design and low level, velocity-based torque control. Additionally, we present experiments that test the leg's performance during human-like high fidelity motions. The results show that the robot can track fast motions corresponding to 87% of the maximum performance limit of human muscle. The experiments also reveal limitations of our current implementation and we discuss solutions to overcoming them.

  • Functional Electrical Therapy of Upper Extremities

    This chapter describes functional electrical therapy (FET) systems that relate to the methods used in recovery of upper limb functioning in humans with a sensory -  motor lesion in the central nervous system (CNS) that impacts reaching and grasping. FET functionally assists the user while the sensory feedback associated with the performance of the activities contributes to the relearning process of the brain. This functional sensory feedback should be maximized both in intensity and duration and should not be limited to short clinical training sessions. During the therapy period, a FET system can be provided to each stroke patient for use during his or her daily activities, thus resulting in intensive training. FET allows patients to train performing functional movements and learn new strategies of optimal use of preserved sensory - motor mechanism. This training could be understood as the process of recalibration of the natural control system.

  • No title

    Combating neural degeneration from injury or disease is extremely difficult in the brain and spinal cord, i.e. central nervous system (CNS). Unlike the peripheral nerves, CNS neurons are bombarded by physical and chemical restrictions that prevent proper healing and restoration of function. The CNS is vital to bodily function, and loss of any part of it can severely and permanently alter a person's quality of life. Tissue engineering could offer much needed solutions to regenerate or replace damaged CNS tissue. This review will discuss current CNS tissue engineering approaches integrating scaffolds, cells and stimulation techniques. Hydrogels are commonly used CNS tissue engineering scaffolds to stimulate and enhance regeneration, but fiber meshes and other porous structures show specific utility depending on application. CNS relevant cell sources have focused on implantation of exogenous cells or stimulation of endogenous populations. Somatic cells of the CNS are rarely utilized for tissue engineering; however, glial cells of the peripheral nervous system (PNS) may be used to myelinate and protect spinal cord damage. Pluripotent and multipotent stem cells offer alternative cell sources due to continuing advancements in identification and differentiation of these cells. Finally, physical, chemical, and electrical guidance cues are extremely important to neural cells, serving important roles in development and adulthood. These guidance cues are being integrated into tissue engineering approaches. Of particular interest is the inclusion of cues to guide stem cells to differentiate into CNS cell types, as well to guide neuron targeting. This review should provide the reader with a broad understanding of CNS tissue engineering challenges and tactics, with the goal of fostering the future development of biologically inspired designs. Table of Contents: Introduction / Anatomy of the CNS and Progression of Neurological Damage / Biomaterials for Scaffold Preparation / Cel Sources for CNS TE / Stimulation and Guidance / Concluding Remarks

  • Operant Conditioning of Spinal Reflexes for Motor Rehabilitation after CNS Damage

    Spinal reflex behaviors can be changed through operant conditioning, in which modification of a behavior is brought about by the consequence of that behavior. Spinal reflex conditioning can be used to change a spinal reflex pathway so as to ameliorate movement disabilities due to central nervous system (CNS) damage. This chapter demonstrates that operant conditioning can increase or decrease the soleus H-reflex in neurologically intact people, and investigates whether down-conditioning can reduce abnormal soleus H-reflex excitability in people with incomplete SCI and can thereby alleviate spastic gait. Finally, operant conditioning protocols that focus on modifying EEG activity over sensorimotor cortex might conceivably provide an additional approach to improving cortical control of motor function.

  • Neural Control of Movement

    This chapter contains sections titled: 2.1 Bioelectric Signal Transmission in the Nervous System, 2.2 Information Processing in the Nervous System, 2.3 Peripheral Sensory Receptors, 2.4 Functional Control of Movement by the Central Nervous System, 2.5 Summary

  • Surface EMG Applications in Neurology

    This chapter contains sections titled: Introduction Central Nervous System Disorders and SEMG Compound Muscle Action Potential and Motor Nerve Conduction CMAP Generation Clinical Applications Pathological Fatigue New Avenues: High-Density Multichannel Recording Conclusion References

  • The Challenge of Information Balance in the Age of Affluent Communication

    This chapter contains sections titled: Introduction Quantitative Aspects of Information Overload Qualitative Aspects of Information Overload Conclusion A Call for Fundamental Research References Xerox Takes on Information Overload Identifying the Problem Sharing Information Sorting Information Cutting Through the Clutter Life-Saving Software Urban Central Nervous System



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