Neurofeedback

View this topic in
Neurofeedback (NFB), also called neurotherapy, neurobiofeedback or EEG biofeedback is a type of biofeedback that uses realtime displays of electroencephalography to illustrate brain activity, often with a goal of controlling central nervous system activity. (Wikipedia.org)






Conferences related to Neurofeedback

Back to Top

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 Haptics Symposium (HAPTICS)

Held since 1992, the IEEE Haptics Symposium (HAPTICS) is a vibrant interdisciplinary forum where psychophysicists, engineers, and designers come together to share advances, spark new collaborations, and envision a future that benefits from rich physical interactions between humans and computers, generated through haptic (force and tactile) devices.

  • 2016 IEEE Haptics Symposium (HAPTICS)

    Held since 1992, the IEEE Haptics Symposium (HAPTICS) is a vibrant interdisciplinary forum where psychophysicists, engineers, and designers come together to share advances, spark new collaborations, and envision a future that benefits from rich physical interactions between humans and computers, generated through haptic (force and tactile) devices. In 2016, this conference will be held in central Philadelphia, one of the most historic and beautiful cities in North America. HAPTICS 2016 will be a four-day conference with a full day of tutorials and workshops and three days of conference activities including technical paper presentations and hands-on demonstrations.Features:ExhibitsWorkshops and TutorialsHands-on Demonstrations

  • 2014 IEEE Haptics Symposium (HAPTICS)

    This conference brings together researchers in diverse engineering and human science disciplines who are interested in the design, analysis, and evaluation of systems that display haptic (force and touch) information to human operators, and the study of the human systems involved in haptic interacti

  • 2012 IEEE Haptics Symposium (HAPTICS)

    This conference brings together researchers in diverse engineering and human science disciplines who are interested in the design, analysis, and evaluation of systems that display haptic (force and touch) information to human operators, and the study of the human systems involved in haptic interaction.

  • 2010 IEEE Haptics Symposium (Formerly known as Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems)

    The Haptics Symposium is a bi-annual, single-track conference that brings together researchers who are advancing the human science, technology and design processes underlying haptic (force and tactile) interaction systems. Our community spans the disciplines of biomechanics, psychology, neurophysiology, engineering, human-computer interaction and computer science.

  • 2008 16th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (Haptics 2008)

    The Haptics Symposium is an annual, single-track conference that brings together researchers in diverse engineering and human science disciplines who are interested in the design, analysis, and evaluation of systems that display haptic (force and touch) information to human operators.

  • 2006 14th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems


2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA)

Industrial Informatics, Computational Intelligence, Control and Systems, Cyber-physical Systems, Energy and Environment, Mechatronics, Power Electronics, Signal and Information Processing, Network and Communication Technologies


2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation

focus on cutting edge of emerging technologies in applications in diverse areas of industrial automation


2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)

Human-robot collaboration


More Conferences

Periodicals related to Neurofeedback

Back to Top

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 I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Circuits and Systems Magazine, IEEE


Computational Intelligence Magazine, IEEE

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.


More Periodicals

Most published Xplore authors for Neurofeedback

Back to Top

Xplore Articles related to Neurofeedback

Back to Top

A Logic Connectionist Approach To Self-organized Associative Memory

Wing-Kay Kan Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics, 1988

First Page of the Article ![](/xploreAssets/images/absImages/00754393.png)


Investigation of human motion under conditions with sensory feedbacks restricted in yo-yo control

Akinori Sasaki; Hiroshi Hashimoto; Sho Yokota; Yasuhiro Ohyama SICE Annual Conference 2007, 2007

Getting accustomed to and enjoying sports or such physical activity is desirable for people to achieve high quality of life. Whereas learning various motions in such sports requires long time because of the complexity of the motions themselves or ambiguity of verbal instructions. Therefore it is worth struggling to sophisticate such instructions from the perspective of human motion analysis and ...


Performance Analysis Of Neuronal Learning Models

O. M. Omidvar; J. Y. Cheung Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics, 1988

First Page of the Article ![](/xploreAssets/images/absImages/00754392.png)


Joint angle control by FES using a feedback error learning controller

K. Kurosawa; R. Futami; T. Watanabe; N. Hoshimiya IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2005

The feedback error learning (FEL) scheme was studied for a functional electrical stimulation (FES) controller. This FEL controller was a hybrid regulator with a feedforward and a feedback controller. The feedforward controller learned the inverse dynamics of a controlled object from feedback controller outputs while control. A four-layered neural network and the proportional-integral-derivative (PID) controller were used for each controller. ...


Mobile Robot Behavior Controller Based on Genetic Diagonal Recurrent Neural Network

Yanchun Du; Yibin Li; Guiyue Wang 2007 IEEE International Conference on Automation and Logistics, 2007

It is crucial that a robot should have both learning and evolutionary ability to adapt to dynamic environments. This paper proposes a new mobile robot behavior controller based on genetic algorithm (GA) and diagonal recurrent neural network (DRNN). The DRNN has the advantages of time series prediction capability because of its memory nodes, as well as local recurrent and self- ...


More Xplore Articles

Educational Resources on Neurofeedback

Back to Top

eLearning

A Logic Connectionist Approach To Self-organized Associative Memory

Wing-Kay Kan Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics, 1988

First Page of the Article ![](/xploreAssets/images/absImages/00754393.png)


Investigation of human motion under conditions with sensory feedbacks restricted in yo-yo control

Akinori Sasaki; Hiroshi Hashimoto; Sho Yokota; Yasuhiro Ohyama SICE Annual Conference 2007, 2007

Getting accustomed to and enjoying sports or such physical activity is desirable for people to achieve high quality of life. Whereas learning various motions in such sports requires long time because of the complexity of the motions themselves or ambiguity of verbal instructions. Therefore it is worth struggling to sophisticate such instructions from the perspective of human motion analysis and ...


Performance Analysis Of Neuronal Learning Models

O. M. Omidvar; J. Y. Cheung Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics, 1988

First Page of the Article ![](/xploreAssets/images/absImages/00754392.png)


Joint angle control by FES using a feedback error learning controller

K. Kurosawa; R. Futami; T. Watanabe; N. Hoshimiya IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2005

The feedback error learning (FEL) scheme was studied for a functional electrical stimulation (FES) controller. This FEL controller was a hybrid regulator with a feedforward and a feedback controller. The feedforward controller learned the inverse dynamics of a controlled object from feedback controller outputs while control. A four-layered neural network and the proportional-integral-derivative (PID) controller were used for each controller. ...


Mobile Robot Behavior Controller Based on Genetic Diagonal Recurrent Neural Network

Yanchun Du; Yibin Li; Guiyue Wang 2007 IEEE International Conference on Automation and Logistics, 2007

It is crucial that a robot should have both learning and evolutionary ability to adapt to dynamic environments. This paper proposes a new mobile robot behavior controller based on genetic algorithm (GA) and diagonal recurrent neural network (DRNN). The DRNN has the advantages of time series prediction capability because of its memory nodes, as well as local recurrent and self- ...


More eLearning Resources

IEEE-USA E-Books

  • Combining BCI and Virtual Reality: Scouting Virtual Worlds

    A brain-computer interface (BCI) is a closed-loop system with feedback as one important component. Dependent on the BCI application either to establish communication in patients with severe motor paralysis, to control neuroprosthesis, or to perform neurofeedback, information is visually fed back to the user about success or failure of the intended act. One way to realize feedback is the use of virtual reality (VR). In this chapter, an overview is given of BCI-based control of VR. In addition, four examples are reported in more detail about navigating in virtual environments with a cue-based (synchronous) and an uncued (asynchronous) BCI. Similar results in different virtual worlds with different types of motor imageries could be achieved, but no significant differences in the BCI classification accuracy were observed between VR and non-VR feedback. Nevertheless, the use of VR stimulated the subject's task performances and provided motivation.



Standards related to Neurofeedback

Back to Top

No standards are currently tagged "Neurofeedback"


Jobs related to Neurofeedback

Back to Top