Scientists create brain-computer interface to decode inner monologue

Entry two of GABA's Long-Term Potentiation: Founder's Series on Neural Mechanics. Cerebellar circuits provide an intriguing avenue for theoretical BCI integration.

"Unlocking the brain's truth: Using EEG to accurately catch а lie?" The OpenBCI released a new study to show a promising 72% accuracy. Interesting! A good EEG cap for you to discover the unbounded possibilities.

The neuroscientist Lucina Uddin investigates how different brain networks interact. “It’s kind of silly to think that we’re ever going to be like, ‘This one brain region or one brain network does one thing. I don’t think that’s how it works.” https://t.co/MGnaWpz8Js

💡 Not all neurofeedback is created equal. A new meta-analysis (2025) shows the secret is in the design: ✔ EEG beats fMRI (but with more variability) ✔ SMR & alpha each have their own strengths ✔ Complex, gamified feedback > boring bar graphs ✔ Longer training = stronger results The takeaway? Neurofeedback isn’t just about if it works—it’s about how you do it. 👉 Read the full breakdown on NeuroBLOG: Optimizing Neurofeedback: What Training Parameters Really Matter https://lnkd.in/eKE3MHW2

I found a video that hit home for me which I am sharing with you today In summary, Clinical reasoning + biofield insight = better outcomes that last. Einstein reminded us that “the field is the sole governing agency of the particle.” In other words: energy controls matter. If we change the information in the field, we can change how matter organizes itself — the body, the tissue, the injury. The quantum field is invisible to our senses, but it is not inaccessible. By stepping out of body-awareness, environment, and time, we enter the present moment of pure consciousness. Here, thought (the electrical charge) and elevated emotion (the magnetic charge) form a new signal. A coherent brain and a coherent heart broadcast information into the field, and the body follows. This is not philosophy. This is physics applied to medicine. Energy medicine harnesses this principle so that therapists can move beyond symptom-chasing and instead transform the field that governs the patient’s recovery.

We all carry on silent conversations in our heads, but Stanford researchers are on the verge of turning those private monologues into spoken words. For the first time, brain implants have been able to decode inner speech directly from the motor cortex—without any attempt to move or speak—and translate it into audible language with striking accuracy. Unlike earlier brain-computer interfaces that relied on failed speech attempts, this approach listens to thought itself. In early trials, it decoded inner words with up to 74% accuracy, hinting at a future where people with paralysis or locked-in syndrome could communicate simply by thinking, collapsing the barrier between private thought and public expression. https://lnkd.in/evXQihgE FuturistSpeaker.com

Researchers at Washington University in St. Louis have developed a computational method that predicts fetal conditions through the analysis of placental texture in prenatal ultrasound imagery. By leveraging algorithms to perform texture analysis, including but not limited to filter-based, spectral, structural, and deep-learning methods, this invention provides a more objective and quantifiable assessment of fetal health. Technology Inventors: Michelle Oyen, Yuyang Hu, Ulugbek Kamilov, Anthony Odibo, Adrienne Scott, Emily Sheehan, and Patrick Yang To learn more about this #WashU technology, visit https://lnkd.in/gJSWxr4E

Read this article from NeuroscienceNews if you're interested in how the brain uses two communication inhibitory pathways to process information based on context. Fascinating stuff, indeed: https://lnkd.in/e4WSvH3r

Are the “Brain Wars” Near? The Financial Times reports on a new frontier in neurotechnology: Elon Musk’s Neuralink and Sam Altman’s Merge Labs are racing to bring brain-computer interfaces out of the lab and into everyday life. The market is predicted to hit $6.2bn by 2030. The promise is huge, life-changing support for people with disabilities, tools to enhance focus, and even make driving safer. But (and this is a big but) the risks are just as significant (and possibly terrifying). 🧠 Who owns or will own our own brain data? 🧠 What safeguards protect us against misuse? 🧠 Will this technology deepen inequality if access is limited to the privileged few? Chile recently set a precedent by recognizing brain data as deserving legal protection. Should the rest of the world follow suit before consumer neurotech takes off? This moment raises a bigger question: how do we balance innovation with ethics when the stakes are not just our clicks or data trails, but our very thoughts? What are your thoughts about these thought? Soon I might not even have to ask you.... https://lnkd.in/ejGAR8FR #braindata #brainwars #braincomputerinterface

Thomas Hartung: “The human brain runs on just 20 watts, less than a light bulb, yet outperforms today’s most advanced supercomputers. Organoid intelligence has the potential to reduce power consumption for AI by a factor of a million or more.” “Organoid intelligence is not just a tool for studying the brain or drug testing - it represents an entirely new form of computing.” Still at proof-of-concept, organoid systems face major hurdles in cell maturity and input-output control, but the idea that living neural networks might join silicon and quantum in the computing stack is an incredible prospect.