Tracking signals shaping the future of neurotechnology — cognitive interfaces, neural engineering, brain-machine systems, and human augmentation.
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Prosthetic limbs that respond to thought and transmit touch, pressure, and temperature back to the user
Design principles that keep users in control when AI assists with prosthetics or medical devices
Computational models simulating neural circuits and brain function
Policies to prevent unequal access to cognitive enhancement technologies
Neural cuffs that read motor commands and deliver sensory feedback through peripheral nerves
Robotic systems controlled by brain signals for surgery, hazardous work, or remote operations
Decoding neural signals to infer mental states and enable brain-computer interfaces
Machine learning models that classify cognitive states like attention or fatigue from neural signals
Direct neural transmission of thoughts or commands between brains via networked interfaces
Real-time neural monitoring that triggers stimulation only when pathological activity is detected
AI-powered cochlear implants with fully internalized hardware for natural hearing restoration
Legal protections for mental privacy and freedom from neural interference
Headbands and earbuds using dry-EEG sensors to track brain activity for meditation, focus, and sleep
Adaptive brain stimulation that adjusts in real-time to reduce Parkinson's motor symptoms
Personalized brain simulations for testing treatments before applying them to patients
Machine learning systems that reconstruct dream imagery from brain activity during sleep
Stent-based electrodes implanted through blood vessels to record brain activity without open-skull surgery
External systems that extend memory, reasoning, and cognitive capacity beyond the brain
Polymer-based neural electrodes that flex with brain tissue to maintain stable contact
Ultrathin electrode arrays that conform to the brain's surface for high-resolution neural recording
Electrode arrays recording thousands of neurons simultaneously for brain–machine interfaces
EEG systems with 256+ electrodes for detailed, non-invasive brain activity mapping
XR environments controlled directly by brain signals for hands-free interaction
Wireless grain-sized sensors injected into neural tissue to record brain activity