Stanford scientists develop mind-reading implant

Neuralink collects brain data by using implantable, ultra-thin electrodes (threads) that record the electrical activity of neurons, which is then transmitted wirelessly to an external device for analysis. This data appears as patterns of neuron "spikes" and brain waves, which can be converted into digital signals and software commands. The goal is to use this data to control devices, interpret thoughts, and potentially restore function in individuals with neurological disorders, such as paralysis

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

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

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

Learning a lot at the AI in Medicine: NHLBI-NCATS Workshop Explores Clinical Decision Support, Check out the virtual meeting! https://lnkd.in/gPrHzb3t

New research shows how vision stabilizes after birth: once the eyes open, neurons align with visual modules, turning chaotic signals into reliable patterns for learning. https://lnkd.in/ggW-tTUT

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.

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

Using the cross-homology Hodge–Laplacian on cross-simplicial complexes, to lift the construction to cell complexes and build layered higher-order representations. For hands-on introduction to simplicial complexes: https://lnkd.in/g9KFTj2g #SimplicialComplex #CellComplex #HodgeLaplacian #CrossLaplacian

Reliable visual perception is not present at birth—it develops through experience. A new collaborative study published today in Neuron by MPFI and FIAS - Frankfurt Institute for Advanced Studies scientists uncovers the neural circuit changes that transform unreliable responses into consistent activity patterns. These findings provide a framework for understanding how the brain is “built to learn” during the earliest stages of development. https://lnkd.in/ers5bJDm