Tag

Neural Decoding

All articles tagged with #neural decoding

AI Breakthrough Enables Real-Time Decoding of Inner Speech
technology18 hours ago

AI Breakthrough Enables Real-Time Decoding of Inner Speech

Stanford and UC Davis researchers are using implanted microelectrodes and AI to translate brain signals into text as people imagine speaking, achieving up to 74% accuracy for inner speech in real time. This marks a step toward mind-reading-like communication for patients with severe motor impairments, building on earlier work that decoded attempted speech and other neural signals. While promising, the tech remains imperfect and will require more neurons and broader brain-area sampling before widespread use or commercialization, which researchers and companies are pursuing with ongoing ethical considerations.

Brain-wide signals coordinate macaque facial expressions
science1 month ago

Brain-wide signals coordinate macaque facial expressions

Researchers implanted micro-electrode arrays in macaques to record neurons as they produced facial gestures. They found all four brain regions studied were active across gestures, with a static code in the cingulate cortex and dynamic, muscle-driving codes in motor and somatosensory areas, implying facial expressions are generated by a coordinated, temporally hierarchical neural network and paving the way for future neural prostheses that decode facial gestures.

Breakthrough in minimally invasive high-density brain-computer interfaces
science-and-technology4 months ago

Breakthrough in minimally invasive high-density brain-computer interfaces

The article discusses a scalable, minimally invasive system of conformable, high-density cortical microelectrode arrays designed for neural recording, stimulation, and decoding, demonstrated in animal models and human patients, with potential to significantly advance brain-computer interface applications while prioritizing safety and reversibility.

Brain-Computer Interface Breakthrough Decodes Inner Speech in Real Time
science6 months ago

Brain-Computer Interface Breakthrough Decodes Inner Speech in Real Time

Scientists have successfully decoded inner speech with up to 74% accuracy using brain-computer interfaces, enabling potential faster and more natural communication for people with speech impairments. The technology detects overlapping brain activity patterns between attempted and imagined speech, with a privacy feature using a password to control decoding. This breakthrough could significantly improve communication methods for those unable to speak audibly.

"Brain Data Analysis Enables AI Prediction of Movement"
neuroscience1 year ago

"Brain Data Analysis Enables AI Prediction of Movement"

Researchers at Kobe University have developed an AI algorithm that can predict mouse movement with 95% accuracy by analyzing whole-cortex functional imaging data, without the need for data preprocessing. The AI model can make accurate predictions based on just 0.17 seconds of imaging data and has the potential to contribute to the development of non-invasive, near real-time brain-machine interfaces. The researchers also devised a technique to identify which parts of the data were pivotal for the prediction, offering insights into the AI's decision-making process and enhancing the interpretability of deep learning in neuroscience.

"Unveiling Navigation Secrets Through Neural Decoding"
neuroscience2 years ago

"Unveiling Navigation Secrets Through Neural Decoding"

Researchers have used deep learning to decode mouse neural activity, accurately predicting the location and orientation of mice based on the firing patterns of "head direction" neurons and "grid cells." This collaboration with the US Army Research Laboratory aims to improve autonomous navigation in intelligent systems without GPS, potentially revolutionizing AI navigation. The study's findings could inform the design of AI systems capable of navigating autonomously in unknown environments by leveraging the neural mechanisms underlying spatial awareness and navigation found in biological systems.

"Revolutionary AI 'Thought Decoders' Transforming Minds"
technology2 years ago

"Revolutionary AI 'Thought Decoders' Transforming Minds"

Neuroscientists are developing technologies known as "thought decoders" that aim to decode and translate our thoughts into coherent sentences. While these technologies are not yet capable of reading our minds completely, they raise concerns about privacy and the potential for manipulation. The traditional view of the mind as a self-contained entity is being challenged by the idea that thoughts are shaped by external factors and social interactions. As these thought decoders evolve, it is crucial to recognize their formative potential and consider the ethical implications of their use.