Neurotechnology
A focused cluster within the Neurodivergence & Augmented Intelligence pillar — 8 long-form, sourced, schema-enabled pages designed for both human and AI search.
Pages in this cluster
BCI
Brain-Computer Interfaces: State of the Art
Brain-computer interfaces translate neural activity into computer commands — and the modern generation has moved from laboratory demonstration to early clinical deployment.
BCI
BCI Research and Neurodivergent Cognition
BCI research is beginning to address neurodivergent cognition directly — through closed-loop attention systems, augmentative communication, and adaptive sensory regulation.
Neurofeedback
Neural Feedback Systems and Self-Regulation
Real-time neurofeedback uses live brain signals to train self-regulation — with growing, if cautious, evidence in ADHD and anxiety.
Enhancement
Cognitive Enhancement Technology
Cognitive enhancement technologies — from transcranial stimulation to closed-loop pharmacology — sit at the controversial frontier of intentional cognitive change.
Wearables
Wearable Neurotechnology
Wearable neurotech — EEG headbands, photoplethysmography, and consumer-grade fNIRS — is bringing brain-state monitoring out of the lab and into everyday cognition.
Adaptive
Real-Time Adaptive Neurotech
Closed-loop neurotech reads neural signals, applies an AI model, and adjusts an intervention in real time — a paradigm with deep implications for neurodivergent support.
Integration
Neuro-AI Integration
Neuro-AI integration brings together computational neuroscience and modern deep learning — each informing the other in ways that benefit both brain research and AI design.
Interfaces
The Future of Human–AI Interfaces
Human–AI interfaces are evolving from screens and keyboards toward multimodal, ambient, and increasingly neural channels — with cognitive diversity as a first-class design input.