A wireless chip shines light on the brain
Researchers have developed a chip that is powered wirelessly and can be surgically implanted to read neural signals and stimulate the brain with both light and electrical current.
Researchers have developed a chip that is powered wirelessly and can be surgically implanted to read neural signals and stimulate the brain with both light and electrical current.
The Fraunhofer Institutes project M³Infekt aims to develop a multi-modal, modular and mobile system of sensors for monitoring infectious diseases.
Researchers have designed a wrist-mounted device and developed software that allows continuous tracking of the entire human hand in 3D.
脑芯片植入物的新颖设计允许测量神经元活动,同时将药物递送到植入部位。
With a speech neuroprosthetic, imagined speech can be made acoustically audible.
对于具有高肢截肢患者的患者,佩戴者允许佩戴者思考,表现和运作,就像一个没有截肢的人一样。
Future brain-computer interface systems employ a network of independent, wireless microscale neural sensors to record and stimulate brain activity.
For the first time, researchers incorporated stretchable tactile sensors using liquid metal on the fingertips of a prosthetic hand.
Researchers aim to speed up developing drugs against brain diseases through cutting-edge technology. They are generating an innovative technology platform based on high-density microelectrode arrays and 3D networks of human neurons.
Scientists have developed the world's first fully integrated bionic arm prosthesis that is ready to use – in keeping with the motto "Plug and Play".
研究人员在软电极阵列中展示了MRI兼容性 - 在诊所翻译的关键步骤。
Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive.
Researchers are creating a smart port to the brain that will use artificial intelligence to selectively stimulate tissue regrowth and seizure intervention.
The project relies on fusing reinforcement learning algorithms with turbulent flow simulations on the CSCS supercomputer "Piz Daint".
更多的研究人员和公司正在进入大脑 - 计算机接口,但从用户培训到侵入性脑植入程序的现实,仍然存在重大挑战。
Linking the human brain to a computer is usually only seen in science fiction, but now scientists have harnessed the power of 3D printing to bring the technology one step closer to reality.
研究人员开发了一个革命性的皮质视觉装置,可以有一天有助于恢复对盲人的愿景。
刺激神经的新的假肢技术可以为想要像身体的自然部分的假体铺平道路,并减少常常忍受的幻影肢体疼痛。
研究人员表明,机器学习技术帮助个体瘫痪,学会使用其脑活动来控制计算机光标。
Researchers have been working to advance a technology that could one day help people with paralysis regain use of their limbs, and enable amputees to use their thoughts to control prostheses.
Scientists have proposed the concept of a memristive neurohybrid chip to be used in compact biosensors and neuroprostheses.
铜雅各布Segil博尔德生物医学工程师的工作ing to bring back that sense of touch for amputees, including veterans of the wars in Iraq and Afghanistan.
Machine learning will drastically improve brain-computer interfaces and their ability to remain stabilized during use, greatly reducing or potentially eliminating the need to recalibrate these devices.
Researchers have tapped faint, latent signals from arm nerves and amplified them to enable real-time, intuitive, finger-level control of a robotic hand.
研究人员设计了一种使用深度学习的新方法,以更好地了解蛋白质在体内的相互作用。
由于仿生假肢,具有连接到大腿中的残留神经的传感器,两个志愿者是世界上第一个膝盖的膝关节,以实时感受到他们的假肢和膝盖。
一个新的3D印刷假肢手可以了解佩戴者的运动模式,以帮助截肢者患者进行日常任务。
机器增强的人类 - 或者可以在科幻小说中所知的机器人 - 可能是成为现实的一步。
研究人员表明,通过使用非侵入性脑电电脑界面,他们可以控制在计算机屏幕上跟踪光标的机器人手臂。
A state-of-the-art brain-machine interface created by UC San Francisco neuroscientists can generate natural-sounding synthetic speech by using brain activity to control a virtual vocal tract – an anatomically detailed computer simulation including the lips, jaw, tongue and larynx.
Getting a better grip on things: The MoreGrasp Horizon2020 research project is coming to an end with significant results in the field of thought-controlled grasp neuroprosthetics. A large-scale feasibility study is underway.
A female Swedish patient with hand amputation has become the first recipient of an osseo-neuromuscular implant to control a dexterous hand prosthesis.
Researchers have developep a sensor that records brain activity at extremely low frequencies and could lead to new treatments for epilepsy.
来自Braingate Consortium的研究表明,脑电脑界面(BCI)可以通过思考制作光标移动和点击即可使人们直接运行一台现成的平板电脑设备。
工程师使用深度学习通过分析大脑的电机控制区域中的电气模式来解码大脑和臂之间的对话。
研究人员开发了用于解码神经肌肉信号的新技术,以控制有源,假肢手腕和手。
Eric Schmidt对医疗保健系统,提供者和专业人士具有很强的意见。他批评了医疗保健生态系统仍然被困在“石器时代”并挑战它“关注创新”。