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Neuralink announces first successful through-dura electrode implantation in clinical trials, improving safety and ease of brain interfacing.
Brain2Qwerty is a non-invasive brain-computer interface that decodes brain waves into text, enabling communication without surgery.
Meta has improved Brain2QWERTY, a non-invasive system using MEG and EEG to decode brain activity into text, enabling typing.
A tweet suggests that communicating raw intentions directly to LLMs via brain implants could drastically reduce time spent talking, with Elon Musk hinting at a Neuralink attempt later this year.
Coherence Neuro, a startup with ties to Neuralink, tested a coin-sized brain implant in three patients during tumor removal surgery to detect and treat brain cancer via electrical stimulation, marking a step toward long-term use for glioblastoma.
MIT Technology Review's daily newsletter covers a startup claiming a breakthrough in making LLMs faster and more efficient, sparking skepticism among experts, and reports on the surge of brain-computer interface trials, including a man with ALS who is a 'power user' of a brain implant.
Brain-computer interface trials are expanding rapidly, with a growing number of volunteers like Casey Harrell using implants to communicate and regain independence, marking a new phase in neurotechnology.
This newsletter covers two stories: Casey Harrell, a man with ALS, becomes the first 'power user' of a brain implant that lets him speak and use the web independently, and explores why South Koreans are far more optimistic about AI than Americans.
RECTOR is a self-supervised framework that learns joint region-channel-temporal representations from EEG/sEEG signals for affective and cognitive state classification, achieving state-of-the-art results on emotion recognition and task-engagement benchmarks.
Casey Harrell, a man with ALS, has become the first 'power user' of a speech brain-computer interface, using it independently for thousands of hours to speak, browse the web, and work. A study in Nature Medicine reports the device's long-term reliability and expanded capabilities.
Introduces ERP-XTTN, a cross-attention architecture for interpretable ERP classification across subjects without calibration. Evaluated on multiple datasets, it achieves competitive performance with black-box models while providing transparent routing insights.
This paper proposes a lightweight CNN architecture to improve adversarial robustness in EEG-based brain-computer interfaces, evaluating it against adversarial attacks and showing better classification performance than existing models.
China has approved the world's first invasive brain-computer chip, NEO, for use beyond clinical trials, marking a major step in the country's ambition to lead in brain implant technology.
China has approved the world's first invasive brain-computer interface (BCI) product, NEO, developed by Neuracle Technology and Tsinghua University, for use in patients with paralysis from spinal cord injuries, marking a significant milestone in neurotechnology.
Northwestern University researchers have printed artificial neurons from MoS2 and graphene ink that produce biologically realistic electrical spikes, which living mouse brain cells recognized as natural signals, a breakthrough with major implications for energy-efficient neuromorphic computing.
This paper proposes an end-to-end Conformer-based neural decoder for intracortical speech decoding from a participant with ALS, achieving a 23.80% character error rate without any external language model. It demonstrates that meaningful character-level decoding is possible in a fully end-to-end framework.
After a car accident left her paralyzed, Audrey became the first female participant in Neuralink's clinical trials and now uses their brain-computer interface to create art with her mind.
A paralyzed patient received the world's first brain-computer interface implant in a higher-functioning cortical region, enabling interpretation of intent and planning. The procedure aims to restore movement and sensory feedback, marking a significant milestone in neuroscience.
The Cerelog ESP-EEG is an affordable 8-channel biosensing board using the ADS1299 chip, offering cleaner signal with closed-loop active bias at a lower price point than OpenBCI. It supports open-source firmware and software like Brainflow, but has limitations such as USB-only connectivity and non-commercial use restrictions.
This paper presents Conv-VaDE, a variational deep embedding model for interpretable EEG microstate discovery that jointly learns topographic reconstruction and probabilistic soft clustering. It includes a systematic architecture search evaluated on resting-state EEG data to determine optimal model configurations for stability and interpretability.