Neurofeedback

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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

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2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.


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 28th International Symposium on Industrial Electronics (ISIE)

The conference will provide a forum for discussions and presentations of advancements inknowledge, new methods and technologies relevant to industrial electronics, along with their applications and future developments.


2019 IEEE Power & Energy Society General Meeting (PESGM)

The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more


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Periodicals related to Neurofeedback

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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.


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.


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Most published Xplore authors for Neurofeedback

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Xplore Articles related to Neurofeedback

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Neurocomputing: picking the human brain

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/38270431700', u'full_name': u'R. Hecht-Nielsen', u'id': 38270431700}] IEEE Spectrum, 1988

The nature of neurocomputing is discussed. Neurocomputing is defined as the engineering discipline concerned with nonprogrammed adaptive information processing systems (neural networks) that develop associations (transformations or mappings) between objects in response to their environment. The operation of a neural network is described, and its hardware realization is considered. Some applications of neural networks are examined.<<ETX>>


BP-Neural Network Used to Choose the Style of Graphic-Interface of Application Program

[{u'author_order': 1, u'affiliation': u'School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China. E-MAIL: kongzhi-mail@163.com', u'authorUrl': u'https://ieeexplore.ieee.org/author/38188244400', u'full_name': u'Zhi Kong', u'id': 38188244400}, {u'author_order': 2, u'affiliation': u'School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China. E-MAIL: liaojm@uestc.edu.cn', u'authorUrl': u'https://ieeexplore.ieee.org/author/37667850400', u'full_name': u'Jian-Ming Liao', u'id': 37667850400}, {u'author_order': 3, u'affiliation': u'School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China; International Centre for Wavelet Analysis and Its Applications, Logistical Engineering University, Chongqing, 400016, China. E-MAIL: jpli2222@uestc.edu.cn', u'authorUrl': u'https://ieeexplore.ieee.org/author/37405662600', u'full_name': u'Jian-Ping Li', u'id': 37405662600}] 2008 International Conference on Apperceiving Computing and Intelligence Analysis, 2008

With the interface from words to graphic, the quality of application program is more and more depend on the degree which the graphic interface feat the taste of the users. So if we can predict the users' taste of the style of application program, our work must be more popular. Now with the help of BP- neural network we can ...


Chronic intraneural electrical stimulation for prosthetic sensory feedback

[{u'author_order': 1, u'affiliation': u'Harvard Univ., Cambridge, MA, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/38152547900', u'full_name': u'D.J. DiLorenzo', u'id': 38152547900}, {u'author_order': 2, u'affiliation': u'Harvard Univ., Cambridge, MA, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37295874000', u'full_name': u'D.J. Edell', u'id': 37295874000}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/37611516300', u'full_name': u'M.J. Koris', u'id': 37611516300}, {u'author_order': 4, u'authorUrl': u'https://ieeexplore.ieee.org/author/37329097600', u'full_name': u'R.R. Riso', u'id': 37329097600}] First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings., 2003

The functionality of prosthetic limbs is restricted by the limited availability of sensory feedback. The goal of the present research is the development of a multichannel microelectrode array for the presentation of sensory information directly to the sensory afferent neurons of the transected peripheral nerve of an amputee. Intraneural electrode arrays were developed and implanted in the proximal stump of ...


Time Encoding Machines With Multiplicative Coupling, Feedforward, and Feedback

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/37266748700', u'full_name': u'A.A. Lazar', u'id': 37266748700}] IEEE Transactions on Circuits and Systems II: Express Briefs, 2006

We introduce a novel class of time encoding machines (TEMs) that exhibit multiplicative coupling, and, feedforward and feedback. We show that a machine with multiplicative coupling is I/O equivalent with an integrate-and-fire neuron with a variable threshold sequence. The same result holds for a TEM with feedforward while a machine with feedback is I/O equivalent with an asynchronous sigma/delta modulator ...


Multiple object retrieval for image databases using multiple instance learning and relevance feedback

[{u'author_order': 1, u'affiliation': u'Sch. of Comput. Sci., Florida Int. Univ., Miami, FL, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37332830100', u'full_name': u'Chengcui Zhang', u'id': 37332830100}, {u'author_order': 2, u'affiliation': u'Sch. of Comput. Sci., Florida Int. Univ., Miami, FL, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37277598000', u'full_name': u'Shu-Ching Chen', u'id': 37277598000}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/38320096400', u'full_name': u'Mei-Ling Shyu', u'id': 38320096400}] 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), 2004

The paper proposes a method to discover effectively users' concept patterns when multiple objects of interest (e.g., foreground and background objects) are involved in content-based image retrieval. The proposed method incorporates multiple instance learning into the user relevance feedback in a seamless way to discover where the user's objects/regions of most interest are and how to map the local features ...


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Educational Resources on Neurofeedback

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eLearning

No eLearning Articles are currently tagged "Neurofeedback"

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

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Jobs related to Neurofeedback

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