Stanford Breakthrough Decodes Inner Speech with 74% Accuracy🧑🏻🔬 Stanford University researchers have achieved a groundbreaking milestone in neurotechnology, decoding silent thoughts with up to 74% accuracy using brain-computer interfaces. Published in "Cell" , the study marks the first real-time decoding of imagined words from the brain’s motor cortex. Led by Erin Kunz and Frank Willett, the team used microelectrode arrays implanted in four participants with severe paralysis from ALS or brainstem stroke. By capturing neural patterns during attempted or imagined speech, the system offers transformative potential for communication aids and neuroprosthetics. #Neurotechnology #BCI #Stanford #Innovation
Stanford Researchers Decode Silent Thoughts with 74% Accuracy
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In a groundbreaking experiment, Dr. Miguel Nicolelis and teams at Duke University and Brazil’s International Institute for Neuroscience of Natal connected two rat brains using brain-to-brain interface (BBI) technology. The "encoder" rat, trained to perform tasks like lever-pressing or texture identification, had its neural activity recorded via cortical electrodes and sent digitally over the internet to the "decoder" rat, thousands of miles away. The decoder received this as brain stimulation and performed the tasks correctly at 60–70% accuracy, despite no direct exposure to stimuli. Feedback to the encoder improved performance, marking the first successful intercontinental brain-to-brain communication and hinting at future neural network applications.
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Exciting breakthrough in neuroscience: Researchers at Stanford have developed a brain-computer interface that decodes *imagined speech*—words people silently “say” in their minds—with up to 74% accuracy using implanted microelectrodes in the motor cortex. Even more compelling: a “thought password” ensures only intentional speech is decoded, safeguarding privacy. This innovation holds profound promise for restoring natural communication for patients with paralysis. Read more via Stanford Medicine’s public write-up—no paywall: https://lnkd.in/enQcPYuj #Neurotech #BCI #AssistiveTech #HealthInnovation
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Detecting causality in neural spike trains using a new technique Understanding the brain's functional architecture is a fundamental challenge in neuroscience. The connections between neurons ultimately dictate how information is processed, transmitted, stored, and retrieved, thus forming the basis of our cognitive functions. via News Medical Device / Technology News Feed
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⸻ ⚡ The Energy Brain Revolution Has Begun 🧠 For over a century, neuroscience treated the brain like a wiring diagram — focusing on spikes and connections. But this model has reached its limits. The ECEPJ Model reveals a deeper truth: Your brain is an energy-driven 3D capacitor lattice, storing, synchronizing, and coding graded potentials instead of relying on binary firing. Now, with the help of PBM (Photobiomodulation), TMS (Transcranial Magnetic Stimulation), and neuromodulation technologies, we can prove it: 🔹 PBM → Recharges neuron “capacitors,” restoring energy balance 🔹 TMS → Synchronizes neural fields, showing energy resonance drives cognition 🔹 Neuromodulation → Tunes ion-wave communication and stabilizes brain fields This is the start of a paradigm shift in understanding: • From spikes → energy • From wires → fields • From mapping → healing The future of consciousness, memory, and neurological healing begins with ECEPJ + PBM + TMS. The shift has started. Be part of it. #ECEPJ #EnergyBrainSeries #NeuroGuardian #NeuroscienceRevolution #PBM #TMS #Neuromodulation #BrainHealth #AI
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Researchers have created a novel computational method to decipher the complex communication patterns between neurons. By analyzing their irregular electrical "spikes," the technique accurately identifies which neurons influence others, a key step in understanding brain function and neurological disorders.
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At Neuroba, we are exploring the groundbreaking intersection of quantum physics and neuroscience to investigate the possibility of shared consciousness. Our latest blog post, “Is Instantaneous Brain-to-Brain Communication Possible? The Role of Quantum Entanglement in Neurotechnology”, examines how quantum entanglement could enable direct, instantaneous communication between human minds. The article delves into the principles of quantum entanglement and its potential application in neurotechnology. It explains how brain-computer interfaces (BCIs) can decode and transmit neural activity and how quantum communication could facilitate real-time, secure mind-to-mind interaction. We also explore potential applications in healthcare, education, global collaboration, and cognitive enhancement, along with the ethical considerations that arise when connecting human minds in this unprecedented way. This research is part of Neuroba’s broader vision to redefine human communication and collaboration. By harnessing the power of quantum entanglement and neurotechnology, we aim to unlock new dimensions of empathy, understanding, and collective intelligence. Read the full article here: https://lnkd.in/dFwZQFBU #QuantumEntanglement #Neurotechnology #BrainToBrainCommunication #QuantumCommunication #Neuroscience #Innovation #FutureOfCommunication #Neuroba
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Scientists discovered that the heart has over 40,000 neurons, creating its own neural network that communicates directly with the brain. In fact, around 80% of vagus nerve signals go from the heart to the brain, influencing thoughts, emotions, and decisions. This field, known as neurocardiology, shows the heart is more than just a pump—it’s an intelligent organ shaping human choices for millions of years. Source: https://lnkd.in/dwvqZeSj
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Scientists discovered that the heart has over 40,000 neurons, creating its own neural network that communicates directly with the brain. In fact, around 80% of vagus nerve signals go from the heart to the brain, influencing thoughts, emotions, and decisions. This field, known as neurocardiology, shows the heart is more than just a pump—it’s an intelligent organ shaping human choices for millions of years.
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🧠 Towards a Brain-Wide Map of Neural Activity During Decision-Making This paper presents one of the most comprehensive efforts to map brain-wide activity during behavior in mice. Using Neuropixels probes across hundreds of brain regions, the study analyzed how neurons encode key decision-making variables such as stimulus, choice, and feedback at both single-cell and population levels. Main findings: • Neural signals related to decision-making are widely distributed across cortical and subcortical regions, not confined to localized “decision centers.” • Both single-neuron firing rates and population dynamics showed robust encoding of task variables. • Feedback-related activity emerged as one of the most dominant signals, shaping brain-wide computations. Future perspectives: • The open dataset (accessible via the International Brain Lab) provides a resource for global collaboration. • Future work could explore causal manipulations, temporal dynamics, and cross-species comparisons, bringing us closer to a unified understanding of distributed cognition. Personal perspective: I find this paper inspiring because it shifts the view from isolated brain areas to distributed neural systems. As someone interested in brain-inspired AI and biomedical engineering, I see this as a blueprint for how large-scale, high-resolution neural datasets can inform both neuroscience and intelligent systems design. #Neuroscience #BrainMapping #DecisionMaking #NeuralCoding #BigData #Neurotechnology
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This raises an important question: can isometric training help rewire similar brain areas? While no study has tested this directly in surfers, evidence shows that sustained isometric exertion reorganizes brain networks for greater efficiency. EEG studies demonstrate that higher levels of isometric force increase clustering, modularity, and global efficiency of brain activity—meaning the brain communicates more effectively under load. That makes it plausible that training with Isophit could cultivate the same type of neural precision big wave surfers display when managing threat at the highest level. Continue Reading: https://lnkd.in/gkHdf_nw
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