Neuroplasticity

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Neuroplasticity is a non-specific neuroscience term referring to the ability of the brain and nervous system in all species to change structurally and functionally as a result of input from the environment. (Wikipedia.org)






Conferences related to Neuroplasticity

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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.


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

Human-robot collaboration


2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17) in conjunction with International Biomedical Engineering Conference of KOSOMBE will be held at International Convention Center (ICC), Jeju Island, Korea from July 11 to 15, 2017. The overall theme of the conference is “Smarter Technology for Healthier World” and will cover diverse topics of cutting-edge research in biomedical engineering, healthcare technology R&D, translational clinical research, technology transfer and entrepreneurship, and biomedical engineering education. The conference program will feature high-profile keynote lectures, minisymposia, workshops, invited sessions, oral and poster sessions, sessions for students and young professions, sessions for clinicians and entrepreneurs, and exhibitions.


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


2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)

AIM 2017 will bring together an international community of experts to discuss the state-of-the-art for new research results, perspectives of future developments, and innovative applications relevant to mechatronics, robotics, control, and automation.


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Periodicals related to Neuroplasticity

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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.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Electron Device Letters, IEEE

Publishes original and significant contributions relating to the theory, design, performance and reliability of electron devices, including optoelectronic devices, nanoscale devices, solid-state devices, integrated electronic devices, energy sources, power devices, displays, sensors, electro-mechanical devices, quantum devices and electron tubes.


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.


Multimedia, IEEE Transactions on

The goal of IEEE Transactions on Multimedia is to integrate all aspects of multimedia systems and technology, signal processing, and applications. It will cover various aspects of research in multimedia technology and applications including, but not limited to: circuits, algorithms and macro/micro-architectures, software, detailed design, synchronization, interaction, joint processing and coordination of multimedia and multimodal signals/data, compression, storage, retrieval, communication, ...


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Xplore Articles related to Neuroplasticity

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Modeling Activity-Dependent Plasticity in BCM Spiking Neural Networks With Application to Human Behavior Recognition

Yan Meng; Yaochu Jin; Jun Yin IEEE Transactions on Neural Networks, 2011

Spiking neural networks (SNNs) are considered to be computationally more powerful than conventional NNs. However, the capability of SNNs in solving complex real-world problems remains to be demonstrated. In this paper, we propose a substantial extension of the Bienenstock, Cooper, and Munro (BCM) SNN model, in which the plasticity parameters are regulated by a gene regulatory network (GRN). Meanwhile, the ...


Somatotopic representation and cortical thickness of primary motor cortex in Bell's palsy: Preliminary study

Kyungmo Park; Siti Hajar Salim; Jeungchan Lee; Changjin Jung; Sooyeol Lee; Minhyung Cho; Woosuk Choi; Sanghoon Lee 2010 5th Cairo International Biomedical Engineering Conference, 2010

The main objective of this research is to investigate how the somatotopic representation of motor cortex changes along no-use of affected facial muscles. We use Bell's palsy patients who has degenerated peripheral lesion and muscle paralysis. Using MR imaging technology and electromyography, we compared the functional activity and connectivity of BOLD signal and the cortical thickness on the relevant motor ...


Virtual reality and non-invasive brain stimulation in stroke: How effective is their combination for upper limb motor improvement?

Sandeep Subramanian; Shreya Prasanna 2017 International Conference on Virtual Rehabilitation (ICVR), 2017

Upper limb (UL) hemiparesis is frequently a disabling consequence of stroke. The ability to improve UL functioning is associated with motor relearning and experience dependent neuroplasticity. Interventions such as non-invasive brain stimulation (NIBS) and task-practice in virtual environments (VEs) can influence motor relearning as well as adaptive plasticity. However, the effectiveness of a combination of NIBS and task-practice in VEs ...


Imaging neuroscience: Lessons from studies of brain plasticity

R. S. J. Frackowiak 5th IEEE EMBS International Summer School on Biomedical Imaging, 2002., 2002

The non-invasive brain scanning techniques, introduced a quarter of a century ago, have become crucial for diagnosis in clinical neurology. They have also been used to investigate brain function and have provided information about normal activity and pathogenesis. They have been used to investigate functional specialisation in the brain and how specialised areas communicate to generate complex integrated functions such ...


Multiclass voluntary facial expression classification based on Filter Bank Common Spatial Pattern

Zheng Yang Chin; Kai Keng Ang; Cuntai Guan 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008

This paper investigates the classification of voluntary facial expressions from electroencephalogram (EEG) and electromyogram (EMG) signals using the Filter Bank Common Spatial Pattern (FBCSP) algorithm. The FBCSP algorithm is an autonomous and effective machine learning approach for classifying two classes of EEG measurements in motor imagery-based Brain Computer Interface (BCI). However, the problem of facial expression recognition typically involves more ...


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Educational Resources on Neuroplasticity

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eLearning

Modeling Activity-Dependent Plasticity in BCM Spiking Neural Networks With Application to Human Behavior Recognition

Yan Meng; Yaochu Jin; Jun Yin IEEE Transactions on Neural Networks, 2011

Spiking neural networks (SNNs) are considered to be computationally more powerful than conventional NNs. However, the capability of SNNs in solving complex real-world problems remains to be demonstrated. In this paper, we propose a substantial extension of the Bienenstock, Cooper, and Munro (BCM) SNN model, in which the plasticity parameters are regulated by a gene regulatory network (GRN). Meanwhile, the ...


Somatotopic representation and cortical thickness of primary motor cortex in Bell's palsy: Preliminary study

Kyungmo Park; Siti Hajar Salim; Jeungchan Lee; Changjin Jung; Sooyeol Lee; Minhyung Cho; Woosuk Choi; Sanghoon Lee 2010 5th Cairo International Biomedical Engineering Conference, 2010

The main objective of this research is to investigate how the somatotopic representation of motor cortex changes along no-use of affected facial muscles. We use Bell's palsy patients who has degenerated peripheral lesion and muscle paralysis. Using MR imaging technology and electromyography, we compared the functional activity and connectivity of BOLD signal and the cortical thickness on the relevant motor ...


Virtual reality and non-invasive brain stimulation in stroke: How effective is their combination for upper limb motor improvement?

Sandeep Subramanian; Shreya Prasanna 2017 International Conference on Virtual Rehabilitation (ICVR), 2017

Upper limb (UL) hemiparesis is frequently a disabling consequence of stroke. The ability to improve UL functioning is associated with motor relearning and experience dependent neuroplasticity. Interventions such as non-invasive brain stimulation (NIBS) and task-practice in virtual environments (VEs) can influence motor relearning as well as adaptive plasticity. However, the effectiveness of a combination of NIBS and task-practice in VEs ...


Imaging neuroscience: Lessons from studies of brain plasticity

R. S. J. Frackowiak 5th IEEE EMBS International Summer School on Biomedical Imaging, 2002., 2002

The non-invasive brain scanning techniques, introduced a quarter of a century ago, have become crucial for diagnosis in clinical neurology. They have also been used to investigate brain function and have provided information about normal activity and pathogenesis. They have been used to investigate functional specialisation in the brain and how specialised areas communicate to generate complex integrated functions such ...


Multiclass voluntary facial expression classification based on Filter Bank Common Spatial Pattern

Zheng Yang Chin; Kai Keng Ang; Cuntai Guan 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008

This paper investigates the classification of voluntary facial expressions from electroencephalogram (EEG) and electromyogram (EMG) signals using the Filter Bank Common Spatial Pattern (FBCSP) algorithm. The FBCSP algorithm is an autonomous and effective machine learning approach for classifying two classes of EEG measurements in motor imagery-based Brain Computer Interface (BCI). However, the problem of facial expression recognition typically involves more ...


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IEEE-USA E-Books

  • Brain-Computer Interface Applied to Motor Recovery after Brain Injury

    This chapter deals with the early investigations of brain¿¿-¿¿computer interface (BCI) systems applied to the goal of motor recovery after neural injury, as well as some of the difficulties encountered. It explains the application of noninvasive BCIs to physical rehabilitation. Noninvasive BCIs include those that use electroencephalographical (EEG) recordings from the surface of the scalp, functional magnetic resonance imaging (fMRI) recordings, and magnetoencephalographic (MEG) recordings. The chapter also discusses neuroscience evidence of brain plasticity and theoretical strategies for BCIs in motor learning. It concludes with feasibility studies of noninvasive BCI. These studies address the following issues: identification of motor task practice that can produce a brain signal that can be used in rehabilitation, identification of brain signal features that can be used in rehabilitation, and ease and accuracy of the use of BCI training.



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