Browsing Category: BCI

Brain state learning system adapts to user focus

BACh (Brain Automated Chorales) estimates brain workload using fNIRS to measure oxygen in the prefrontal cortex to help beginners learn to play Bach chorales.  The system offers new lessons when the brain isn’t overloaded with information. Tufts Beste Yuksel and Robert Jacob, who developed the technology, believe that it can help with any type of learning, and specify math, […]

DARPA neural implant to enhance brain-computer connections

DARPA is leading the development of an improved  neural implant for connecting the brain to computers, using advances neuroscience, synthetic biology, low-power electronics, photonics and medical manufacturing.  Their goal is to to dramatically enhance  neurotechnology research capabilities and provide a foundation for new therapies. The Neural Engineering System Design program aims to produce a miniaturized brain implant, smaller […]

Faster, noninvasive BCI speller system

Tsinghua University researchers have developed  a noninvasive brain-computer interface with the fastest information transfer rate to date.   The system is based on  steady-state visual evoked potentials, where a speller system detects a user’s gaze direction to a target a character. Frequency and phase of stimulation signals were precisely encoded in single-trial SSVEPs. A user-specific decoding algorithm adjusted to […]

Brain-to-brain link allows one person to read another’s thoughts

University of Washington researchers used a direct brain-to-brain connection to enable pairs of participants to play a question-and-answer game by transmitting signals from one brain to the other over the Internet. The experiment is thought to be the first to show that two brains can be directly linked to allow one person to guess what’s on another person’s mind. […]

Biocompatible neural prosthetics

Spinal injury patients, and those with lost limbs, sometimes have neural prosthetic devices implanted in an attempt to regain independence.  They are used for deep brain stimulation and brain controlled external prosthetics.  However, neural prosthetics are often rejected by the immune system, and can  fail because of a mismatch between soft brain tissue and rigid […]

Continuously correcting BCI technique improves precision

Stanford‘s Krishna Shenoy has developed a more precise brain-controlled cursor for a virtual keyboard using a technique that continuously corrects brain readings. An algorithm analyzes the measured electrical signals that a prosthetic device obtained from sampled neurons. It adjusts  the signals so that the sample’s dynamics were more like baseline brain dynamics. The thought-controlled keypad would allow […]