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 7th International Winter Conference on Brain-Computer Interface (BCI)

Brain-Computer Interface, etc.


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.


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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

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

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

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

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

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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IEEE-USA E-Books

  • Neurocomputing: picking the human brain

    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

    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 do it because of its strong capacity of prediction.

  • Chronic intraneural electrical stimulation for prosthetic sensory feedback

    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 the transected sciatic nerve in 18 New Zealand White rabbits and monitored for chronic functionality. Several novel nerve regeneration implant designs employing axially oriented Platinum/Iridium wire arrays and regeneration tubes were explored. Somatosensory evoked potentials were monitored via chronically implanted epidural electrodes. A behavioral technique was used to monitor stimulus perception; an electrical stimulus was delivered to the implanted nerve followed by an airpuff to the eye with monitoring of the resultant eye-blink reflex. In this classical conditioning technique, the rabbits associate the two stimuli such that electrical stimulation of the sciatic nerve without an airpuff elicits an eye- blink. Neurophysiological and behavioral tests have demonstrated chronic single channel electrode functionality for greater than 2 years in implanted animals. This research supports the possible viability of an implanted neuroelectric interface in providing chronic sensory feedback in humans.

  • Time Encoding Machines With Multiplicative Coupling, Feedforward, and Feedback

    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 with variable thresholds. For all TEMs, an input band-limited signal can be perfectly recovered from the zero crossings of the modulated signal and the threshold sequence. We present the optimal decoding algorithm and give conditions for perfect signal recovery

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

    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 of that(those) region(s) to the user's high- level concepts. A three-layer neural network is used to model the underlying mapping progressively through the feedback and learning procedure

  • A sensory feedback control model of neuromuscular systems

    We have developed a computer model to examine the inter-working relationships between Renshaw cell recurrent inhibition of /spl alpha/-motoneurons and /spl beta/-motoneuron innervation of spindle intrafusal muscles, two of the several feedback pathways modulating muscle force generation. To restore motor function after paralysis or injury is to restore coordinated control of muscle force generation. A better understanding of interactions among those neural circuits in the spinal cord that directly regulate recruitment of /spl alpha/-motoneurons is crucial for achieving the noble goal of restoring motor function for paralyzed people.

  • Sensory feedback system using interferential current for EMG prosthetic hand

    The purpose of this study was to develop a new type of sensory feedback system for myoelectrically controlled biomimetic prosthetic hand. One of the characteristic features of the neuromuscular control system in man is the increase in the compliance around the joint with decreasing activity of the muscle. For the sensory feedback system we used interferential current that use two waves and interfere to synthesize a low frequency in the body. One frequency was fixed at 5000 Hz and the other frequency was changed from 2000 Hz; to 4900 Hz. As the result stimulus frequency in the body was changed from 100 Hz to 3000 Hz. By the experiments we measured that the subjects could distinguish the change of stimulus frequency and confirmed that the interference current is useful method for sensory feedback system of a prosthetic hand. As a future task, we will try to produce a sensory feedback device for a prosthetic hand, using the interference current.

  • A spiking neural network with negative thresholding and its application to associative memory

    This paper proposes a feedback-type spiking neural network using integrate- and-fire neurons with negative thresholding. Spiking neuron models express analog information by the timing of neuronal spike firing. Since these models operate asynchronously, it is expected that the spiking network operates faster than the conventional synchronous models. In order to apply such models to feedback networks with continuous states, spike firing expressing the zero value is required. However, the integrate-and-fire neurons generate no spikes when their internal potentials corresponding to the zero value do not exceed the threshold. To solve this problem, we propose negative thresholding that operates immediately after the spike input. In this paper, this thresholding operation is achieved by introducing a global excitatory unit. We have designed a spiking feedback network circuit with the global excitatory unit. The simulation results of associative memory using the network have revealed that the output spike-timing difference is independent of the input spike- timing range.

  • A new approach for adaptive control of a nonlinear system using neural networks

    An approach for controlling a nonlinear system using an adaptive scheme implemented by neural networks is presented. Two neural networks are trained in three different stages. In the first stage, the nonlinear system is excited several times to teach the inverse dynamics of the system to a neural network. In the second stage, the system is again excited several times to train a second neural network with input signals that will control the nonlinear system in the desired way. After the first two stages of training, the system is operated with the second neural network as feedback, and its weights are adaptively adjusted to accommodate possible parameter variations in the nonlinear system. Results obtained with a simulation program developed to train the neural networks using the backpropagation algorithm and input- output-state data are presented.<<ETX>>

  • Reanimating paralyzed limbs coping with spatially distributed, multimodal systems

    Sensory prostheses generally require dense multichannel interfaces in a small place that is difficult to access but mechanically protected. Motor prostheses must activate a relatively modest number of muscles distributed widely over limbs subject to constant motion and external impacts. Sensory prostheses require high data rates to recreate complex temporospatial patterns of neural activity while muscles are unidimensional low-pass filters. Sensory prostheses generally need one sophisticated interface for stimulation while sensorimotor prostheses require a wealth of command and feedback signals employing different electrical and mechanical sensing modalities. Sensory prostheses do as little signal processing as necessary to enable the brain to do the difficult perceptual computations while sensorimotor prostheses must replace the functionality of motor planning and coordination centers whose normal functions we barely understand. Sensory deficits (e.g. deafness, blindness) tend to affect large numbers of patients in homogeneous and stable ways while motor deficits come in a much wider variety and change over time due to neural and muscular plasticity. We are just starting to assemble the diverse armamentarium of implantable interfaces, control strategies and fitting tools that will be needed to treat motor disabilities successfully.



Standards related to Neurofeedback

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No standards are currently tagged "Neurofeedback"


Jobs related to Neurofeedback

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