Big news - the Education component of the IEEE Brain #NeuroethicsFramework is now live! As #neurotech enters classrooms and learning spaces, ethical considerations are critical. Explore insights on responsible adoption in #education now at: https://lnkd.in/eyrAyJEQ The #IEEEBrain #Neuroethics Framework addresses the ethical implications of #neurotechnology across disciplines like #medical, education, #legal, #employment, and more. Explore the Framework now at: https://lnkd.in/ewTG8WnE
IEEE Brain
科技、信息和网络
Fostering global knowledge-sharing and discoveries in neuroscience and neural engineering.
关于我们
IEEE Brain unites engineering and computing expertise across IEEE Societies and Councils relevant to neuroscience, providing an avenue for IEEE to work with multiple constituencies in academia, industry, and government to incubate and sponsor new activities, projects, and standards that facilitate bringing neurotechnology to market in an ethical and responsible manner.
- 网站
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https://brain.ieee.org
IEEE Brain的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 51-200 人
- 类型
- 非营利机构
- 创立
- 2015
- 领域
- Brain Computer Interfaces、Neurotechnology、Neurotech、Neuroscience、Neural Engineering、Technology Standards、Standardization、Engineering、Conferences & Events和Neuroengineering
IEEE Brain员工
动态
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Pretty nifty - a breakthrough in #brain #SignalAnalysis that integrates Principal Component Analysis for efficient #DataProcessing with Adaptive Neuro-Fuzzy Inference Systems is achieving an unprecedented 99.5% accuracy in cognitive pattern recognition, according to Nature Scientific Reports. The approach, combining #PCA and #ANFIS, is setting a new standard in #neuroscience, brain-computer interfaces, and clinical diagnostics. It could also paves the way for more accurate cognitive assessments, improved #neurotechnology applications, and enhanced #AI-driven #diagnostics. Learn more now at: https://lnkd.in/dypCkzcb #BCI
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Brain-chip technology is evolving rapidly, and a new low-power design could transform #brain-computer interfaces for people suffering from #paralysis. Now, IEEE Spectrum reports that researchers have developed a chip capable of monitoring groups of #neurons rather than individual ones, significantly reducing #energy consumption while still accurately detecting a user's intent to move. This innovation could lead to more autonomous and self-paced control, eliminating the need for manual activation. By improving efficiency and reducing the need for invasive electrodes, this approach brings us closer to real-world, long-term applications of# BCIs. Learn more at: https://bit.ly/4hfJYws #BCI #neurotech #neurotechnology
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? Shoutout to our friends at Dana Foundation! Why? Because it's #BrainAwarenessWeek! IEEE Brain remains dedicated to advancing #neurotechnology, brain #research, and #innovation to improve lives. From brain-computer interfaces to cognitive #neuroscience, our community is at the forefront of shaping the future of brain health. This week, we celebrate the incredible progress in neuroscience and the importance of public engagement in brain research. Learn more about why #brain science is so critical to our future now at: https://lnkd.in/e2mBKEfN #BCI
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Big, exciting news! IEEE Brain is thrilled to announce it has become a member of the AMERICAN BRAIN COALITION, joining a prestigious network of 150+ organizations dedicated to advancing brain #research, #advocacy, and improving treatments for brain-related conditions. This partnership reinforces our commitment to fostering #innovation, #collaboration, and advocacy in #neuroscience and brain health. According to #IEEEBrain Program Manager, Cynthia Weber, Ph.D., "We are honored to join the #AmericanBrainCoalition and look forward to working together to drive meaningful progress in #brain science and #technology.” Learn more now at: https://lnkd.in/dyZuVNJv #neurotechnology #neurotech #ABC
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Could this be a major breakthrough in prosthetic #technology? Medical Xpress reports researchers have found that mind-controlled #prosthetic arms can benefit from neural "haptic feedback," allowing users to experience a sense of touch and improving precision in movement. By integrating sensory feedback into #brain-controlled prosthetics, this innovation could make #ArtificialLimbs feel more natural and intuitive, enhancing functionality and quality of life. This advancement brings us closer to a future where prosthetic users can interact with their environment in a way that closely mimics natural movement. Learn more now at: https://bit.ly/3DkuERy #neurotech #neuroscience
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Your next big opportunity in brain #research and #neurotechnology starts here! The IEEE Brain #CareerCenter is more than just a job board; it’s a gateway to innovation. Whether you're an aspiring researcher, an experienced #engineer, or a visionary in #neurotech, this is where top talent meets groundbreaking opportunities. Come explore the many resources available to you, including our searchable #jobs database, coaching, resume assistance, interview tips, and more, now at: https://lnkd.in/ggujE9ug #neuroscience #brain #careers
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Brain-computer interfaces are transforming accessibility. Kids with severe disabilities can now play #VideoGames and engage with media using only #brain activity. As The Globe and Mail reports, new software is making this possible—unlocking new levels of independence and inclusion. This is a powerful step forward for #accessibility and #neurotech, showing how innovation can create more inclusive digital experiences. Read more about this groundbreaking technology now at: https://tgam.ca/3DaC4Xk #BCI #neurotechnology #neuroscience
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Heads-up, followers and friends! Today is the last day to apply for financial support for BCI Society's #BCI2025 through Financial Hardship Grants and the Family Care Grant Program. Don't miss this important #BCI2025 deadline; get more info now at: https://lnkd.in/eRzZkXcp #BCI #brain #neuroscience #neurotech
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Brain-controlled #rehabilitation is taking another leap forward. A new study introduces an #EEG-based soft #robotic glove designed to assist #stroke and spinal cord injury patients in regaining hand mobility. By decoding motor intent from #brain signals, this non-invasive brain–computer interface translates thought into movement, enabling users to perform natural hand functions for fine motor rehabilitation. With an impressive accuracy rate of up to 85.3%, this technology could redefine recovery by extending therapy beyond clinical settings. Read the paper now at MDPI: https://bit.ly/4gYtWqN #BCI
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