Brain-Computer Interface Innovations

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  • View profile for Vineet Agrawal
    Vineet Agrawal Vineet Agrawal is an Influencer

    Helping Early Healthtech Startups Raise $1-3M Funding | Award Winning Serial Entrepreneur | Best-Selling Author

    56,024 followers

    A 65 year old just became the first person to control an iPad using brain signals alone. Mark Jackson was diagnosed with ALS (amyotrophic lateral sclerosis) in 2021. Over time, he developed complete paralysis in both arms and weakness in his neck. No way to swipe a phone. No way to send a text. No way to do things for himself without asking someone else. Until a brain-computer interface by Synchron changed that. Here's how it works: ▶ 1. Device sits inside a brain vein ↳ A small sensor is implanted into one of the veins within Mark's brain through a minimally invasive procedure - not brain surgery. ↳ It reads brain signals from the motor cortex and translates them into digital actions on screen. ↳ Mark now watches Netflix, listens to audiobooks, browses Instagram and Facebook, and texts his kids. All by thinking about the action he wants to take. ▶ 2. Two-way communication creates real-time feedback ↳ Synchron just launched a new version using something called a BCI HID profile - Human Interface Device. ↳ The computer detects the strength and fidelity of Mark's brain signal in real time and presents feedback about where he's looking, what he's thinking about clicking, where he wants to move. For someone who can't move their arms, losing the ability to do things independently is one of the hardest parts of the disease. This technology gives that back. However, the tech is still early. Synchron has completed early feasibility trials and is preparing for pivotal trials before seeking FDA approval - a process that will take several years. But would you trust a brain implant if it gave you back your independence? #entrepreneurship #healthtech #innovation

  • View profile for Greg Meyers
    Greg Meyers Greg Meyers is an Influencer

    EVP, Chief Digital & Technology Officer, Member of Executive Committee at Bristol Myers Squibb

    17,560 followers

    New research hints at therapeutic potential for Parkinson’s and other treatment-resistant neurological conditions. From Neuron: Brain-computer interfaces (BCIs), which have so far shown efficacy in restoring cursor control and robotic movement in paralyzed patients, are now showing promise as “electroceuticals” for patients with treatment-resistant movement disorders who aren’t responding to conventional therapies.  300-millisecond “micro-zaps” to the brain’s anterior cingulate cortex (decision-making center) or striatum (reward system) flip the brain between explore and exploit modes, letting monkeys learn faster – the first causal proof that a BCI can upgrade cognition, not just movement. Why this matters for neurological disorders: • Parkinson’s disrupts these same circuits. Well-timed pulses could potentially unfreeze slowed, rigid thinking caused by dopamine depletion (the brain chemical shortage that affects decision-making) • Beyond helping paralyzed patients regain movement through brain-spine bridges, cognitive BCIs could help stroke survivors relearn speech patterns or traumatic brain injury patients rebuild memory formation during rehabilitation. Tiny, closed-loop electrical smart devices responding to brain signals in real-time could show promise as a novel way to treat treatment-resistant movement disorders. This study is an early but important step in understanding how targeted electrical pulses might help re-tune damaged neural circuits. Neuron article: https://lnkd.in/exRpeU4J Preprint for those without access to Neuron: https://lnkd.in/eCf3qWTG

  • View profile for Dr. Martha Boeckenfeld

    Human-Centric AI & Future Tech | Keynote Speaker & Board Advisor | Healthcare + Fintech | Generali Ch Board Director· Ex-UBS · AXA

    150,929 followers

    This brain-computer interface lets ALS patients control their home with thoughts alone. ALS (Amyotrophic Lateral Sclerosis) is a devastating disease that progressively paralyzes people, taking away their ability to move, speak, and breathe. Yet their minds remain sharp, fully aware, trapped in a body that no longer responds. Meet Rodney. ALS took his movement, but not his independence. A revolutionary BCI system is transforming lives for 32,000 Americans with ALS. Here's how: → Immediate Impact • Control smart home devices with thoughts • Operate lights, music, and appliances • Even feed pets automatically • Zero physical movement needed → Proven Results • 80% increase in daily living independence • 2023 clinical data shows immediate adoption • Users report restored dignity and control • Market growing to $3.3B by 2026 → Why This Changes Everything • 𝗔𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆: Smart home integration makes daily tasks intuitive • 𝗔𝗳𝗳𝗼𝗿𝗱𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Production costs dropping 20% yearly • 𝗨𝘀𝗲𝗿-𝗙𝗼𝗰𝘂𝘀𝗲𝗱: Technology prioritizes highest-need patients The real breakthrough? BCI technology is enabling people with conditions like ALS to regain independence, dignity, and control over their lives. With growing investment and user-centered design, these systems will become more invisible, intuitive, and accessible—transforming the daily experiences of those who need them most. It's not just about controlling devices. It's about giving people like Rodney their life back—one thought at a time. Follow me, Dr. Martha Boeckenfeld for more how technology impacts our Future. ♻️ Repost to share how BCI technology is transforming lives. #HealthTech #Innovation #ALS #FutureOfHealthcare

  • View profile for Andreas Sjostrom
    Andreas Sjostrom Andreas Sjostrom is an Influencer

    LinkedIn Top Voice | AI Agents | Robotics I Vice President at Capgemini’s Applied Innovation Exchange | Author | Speaker | San Francisco | Palo Alto

    14,542 followers

    Last week, we explored how robots might move, feel, and understand like humans. Now, we flip the lens and tap into one of the most exciting frontiers in human augmentation: Brain-Computer Interfaces (BCIs). BCIs connect the brain directly to machines, translating neural activity into signals that control computers, devices, or even AI agents. With the rise of Agentic AI, a new possibility is emerging: What if your intentions could become instructions, from brainwaves to prompts, directing AI with intent alone? The most intuitive interface isn’t voice; it’s thought. A Thought-to-Agent Interface (T2A) links your brain activity to an AI Agent in real time, translating mental focus, intention, or emotional state into prompts, actions, or decisions. These are some use-case examples... 🧠 In Work: You're in deep focus. You imagine a slide, your AI Agent starts drafting it. You think of a person; it pulls up your last conversation. 🧠 In Accessibility: For someone unable to speak or type, the interface interprets intent from brain signals and helps control devices, compose messages, or navigate systems. 🧠 In Creativity: A designer imagines a shape, a scene, or a melody, and the AI Agent renders variations in real time, refining the output through guided intent. These are some current research projects... 📚 Meta AI’s Brain-to-Text Decoding: Decodes full sentences from non-invasive brain activity with up to 80% character accuracy, bridging neural intent to digital language. https://lnkd.in/gTEJpa4e 📚 UC Berkeley’s Brain-to-Voice Neuroprosthesis: Translates brain signals into audible speech, restoring naturalistic communication for people with speech loss. https://lnkd.in/g_D3Xeup 📚 Caltech’s Mind-to-Text Interface: Achieves 79% accuracy in translating imagined internal speech into real-time text, enabling seamless brain-to-device communication. https://lnkd.in/gEuVKreq These are some startups to watch... 🚀 Neurable: EEG-based wearables decoding cognitive load & focus in real-time. https://www.neurable.com/ 🚀 OpenBCI: Makers of Galea, a headset combining EEG, EMG, eye tracking, and skin conductance for immersive neural interfacing. https://lnkd.in/girt4PAW 🚀 Cognixion: Brain-powered communication integrated with AR and speech synthesis for non-verbal users. https://www.cognixion.com/ 🚀 Paradromics: High-bandwidth BCI for translating neural activity into speech or system commands for those with severe impairments. https://lnkd.in/giepGKH4 What is a likely time horizon... 1–2 years: Wearable EEG interfaces paired with AI for narrow tasks: adaptive UI, hands-free control, attention-based interaction. 3–5 years: Thought-to-agent pipelines for work, accessibility, and creative tools, personalized to individual brain patterns and cognitive signatures. The future isn’t just AI that understands your prompts. It’s AI that understands you as soon as you think. Next up: Multimodal AI Sensory Fusion (“Glass Whisperer”)

  • View profile for Asad Ansari

    Founder | Data & AI Transformation Leader | Driving Digital & Technology Innovation across UK Government and Financial Services | Board Member | Commercial Partnerships | Proven success in Data, AI, and IT Strategy

    29,651 followers

    This is the moment AI gave someone their voice back. It’s not science fiction anymore. For 18 years Ann has been paralysed and locked in. A stroke took her ability to speak but the neural signals remained. This video shows a historic breakthrough in brain computer interface technology. An electrocorticography grid decodes signals sent to her facial muscles. The AI translates them into speech on a digital avatar in real time. She says I think you are wonderful. Those are her first words spoken through an avatar using just her brain. This is where neuroscience meets artificial intelligence. We are moving beyond generative AI into restorative AI. It is about rebuilding the human connections we thought were lost forever. If AI can restore a lost voice, what other human capabilities could we rebuild next? #AI #HealthTech #Neuroscience #Innovation

  • View profile for Abhijeet Satani

    Research Scientist | Inventor of Cognitively Operated Systems 🧠 | Neuroscience | Brain Computer Interface (BCI) | Published Author with a BCI patent and several other Patents (mentioned below🔻) and IPRs

    8,873 followers

    A high-performance speech neuroprosthesis, developed by Stanford researchers, decodes attempted speech directly from brain activity—restoring a voice to individuals who have lost the ability to speak. Key Findings: 📍Rapid and naturalistic decoding: The system translated neural signals into real-time text at 62 words per minute—nearly 3.5× faster than prior BCI systems. This speed brings decoded communication closer to everyday conversation, offering a major leap in usability and responsiveness. 📍Robust phoneme mapping and vocabulary range: Impressively, the neuroprosthesis operated with a 125,000-word vocabulary—the largest ever used in speech BCI—while maintaining semantic accuracy. Neural representations of phonemes remained intact even years after speech loss, suggesting the brain’s motor-speech pathways are more persistent than previously assumed. 📍Rethinking the neural basis of speech: While traditional models emphasize Broca’s area, this study found that area 6v was more predictive of speech intention. Furthermore, the system successfully decoded both spoken and silently mouthed words, demonstrating that silent articulation retains a reliable neural signature—crucial for fatigue-free, discreet communication. By Willett et al., Nature, 2023 https://rdcu.be/eyFkC Implication: This work marks a major milestone for brain–computer interfaces, bridging neuroscience and assistive technology to restore speech—and reshaping our understanding of the brain’s language architecture. #BrainComputerInterface #Neuroprosthetics #SpeechNeuroprosthesis #Neuroscience #Stanford #ALS #Neurotech #BCI

  • View profile for Joshua Chou

    Regenerative Medicine x Neurorehab

    3,140 followers

    Neurorehabilitation is at the forefront of medical innovation, offering new hope and transformative possibilities for individuals living with disabilities resulting from stroke to multiple sclerosis (MS). As we delve into the upcoming trends in neurorehabilitation, it becomes evident that groundbreaking developments in Brain-Computer Interface (BCI) technology combined with other techniques such as Functional Electrical Stimulation (FES) and Virtual Reality (VR) allow to the user restore neurological function by inducing the neural plasticity. In an Australian first, recoveriX Neurorehabilitation, a brain-computer interface technology designed to assist the brain in rewiring itself to relearn lost motor functions, irrespective of age, represents a significant advancement in the field of neurorehabilitation and offers a renewed sense of hope and possibility for stroke and MS patients. 1) Personalized Rehabilitation Experiences For stroke and MS conditions, through BCI technology with motor imagery programs can replicate daily activities, allowing patients to practice and regain motor skills in a virtual environment that closely mirrors real-life situations. 2) Enhancing Motor Skills through Immersive Environments In recoveriX program, patients are guided to imagine hand or foot movements while their brain waves are measured and analyzed. Virtual reality and functional electrical stimulation are activated based on correct motor imagery, promoting brain plasticity and learning. Furthermore, functional electrical stimulation is used to stimulate specific muscles when the system recognizes correct motor imagery, allowing patients to experience real movement and relearn how to initiate it. 3) Real-Time Feedback and Progress Monitoring BCI applications provide real-time feedback, allowing both patients and healthcare professionals to monitor progress effectively. Stroke survivors can receive instant feedback on their movements and adjust their actions accordingly, promoting a more efficient learning process. 4) Neurorehabilitation: An Alternative Approach For stroke and MS patients who face challenges in engaging with traditional physiotherapy which might be physically demanding or challenging for patients with severe mobility limitations, BCI neurorehabilitation programs present a transformative alternative. Neurorehabilitation is ushering in a new era of offering innovative solutions for individuals grappling with the aftermath of stroke and multiple sclerosis. This technology emerges as a complementary approach for stroke and MS patients who encounter difficulties in traditional physiotherapy settings, positioning BCI as a powerful tool in the quest for improved patient outcomes. To find out more about recoveriX in Australia please visit https://jmx.recoverix.au/ #gtecmedical  #neurorehabilitation #neurorehab #strokerehabilitation #strokecare #stroke #strokerecovery

  • View profile for Chris Kissack

    Human. Certified Data Ethics Professional. Tech Educator of the Year 2025. Part of team Acclaim 💚 Computational Neuroscience Student. I once played Pokémon on Everest 🤓 Community builder. I use the word awesome a lot.

    11,983 followers

    In the early hours of this morning, I watched the live stream of the first Neuralink patient control his PC with his mind. This will change the world. Neuralink on X streamed an introduction to the first human to use their technology. Watching this, I could not help but feel it must have felt like this watching the first moon landing. This is a huge leap forward for mankind and a look at how we can interact with our brains using technology. Imagine an implant that can dive into the brain’s complex circuitry and offer new hope for tackling a range of neurological and psychiatric conditions like Parkinson’s, epilepsy, depression, and more, by accessing just the right spots in the brain to kick them back into gear. But it doesn’t stop there. This technology has the potential to change the way we experience the world, restoring senses like vision, hearing and touch in ways we never could have achieved before. I know that sounds like it right out of a sci-fi novel, an as a member of the British Science Fiction Association, I can tell you I've read plenty of scenarios like this! But now science fiction is rapidly becoming science fact. Can you imagine bypassing the damaged parts of the brain and getting a direct sensory feed? It will change lives. The realm of physical assistance using this technology is where it is the most positive. Think about controlling robotic arms, exoskeletons, or even wheelchairs with nothing but your thoughts. It will change lives. It already is, you can see how it has changed Nolans life. I believe, in the not too distant future, we will be communicating in new, unprecedented ways, making the line between the human mind and the ‘mind’ of machines blurrier than ever before. Neuralinks potential is still in the early stages, but this demonstration is ground breaking and history making. There are lots of challenges to tackle and ethical conversations to be had, but the progress they’ve made is incredibly exciting and a hint at the potential of what’s to come in the world of neural engineering.

  • View profile for Gary Monk
    Gary Monk Gary Monk is an Influencer

    LinkedIn ‘Top Voice’ >> Follow for the Latest Trends, Insights, and Expert Analysis in Digital Health & AI

    46,527 followers

    Brain Implant and AI Let Man with ALS Speak and Sing in Real Time Using His Own Voice: 🧠A brain implant and AI decoder has enabled Casey Harrell, a man with ALS, to speak and sing again using a voice that sounds like his own, with near-zero lag 🧠The system captures brain signals from four implanted electrode arrays as Harrell attempts to speak, decoding them into real-time speech with intonation, emphasis, and emotional nuance, down to interjections like “hmm” and “eww.” 🧠Unlike earlier BCIs that needed users to mime full sentences, this one works continuously, decoding signals every 10 milliseconds. That allows users to interrupt, express emotion, and feel more included in natural conversation 🧠It even lets Harrell modulate pitch to sing basic melodies and change meaning through intonation, like distinguishing a question from a statement or stressing different words in a sentence 🧠The synthetic voice was trained on recordings of Harrell’s real voice before ALS progressed, making the output feel deeply personal and familiar to him. 🧠While listener comprehension is around 60%, the system’s ability to express tone, emotion, and even made-up words marks a major leap beyond monotone speech—and could adapt to other languages, including tonal ones #healthtech #ai

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