Conference Tracks
Explore the scientific themes and sessions across NeuroTechX-2027
Brain–Computer Interfaces & Neural Interfaces
Research and applications for translating neural activity into communication, control, and therapeutic systems.
- Non-Invasive Brain–Computer Interfaces
- Invasive and Implantable Neural Interfaces
- Next-Generation Neural Signal Decoding
- BCI Applications in Healthcare and Assistive Technology
Artificial Intelligence for Brain Science
AI methods that accelerate discovery, interpretation, and prediction in neuroscience.
- Machine Learning for Neuroscience
- Deep Learning for Brain Data Analysis
- Generative AI for Neuroscience
- AI-Based Brain Function Prediction
Neurotechnology & Brain Engineering
Engineering systems, devices, and platforms that interface with and modulate the nervous system.
- Advanced Neuroengineering Systems
- Neural Prosthetics and Neuroprostheses
- Bioelectronic Medicine
- Emerging Brain Engineering Technologies
Computational Neuroscience & Brain Modeling
Models and simulations that explain neural systems from circuits to whole-brain dynamics.
- Computational Models of Neural Systems
- Whole-Brain Modeling
- Neural Network Dynamics
- AI-Driven Brain Simulation
Neuroimaging, Brain Mapping & AI
AI-enabled neuroimaging and mapping methods for structural, functional, and multimodal brain data.
- AI in MRI and Functional MRI
- Advanced Brain Mapping
- Multimodal Neuroimaging
- Automated Brain Image Analysis
Neural Signal Processing & Decoding
Methods for transforming neural recordings into meaningful, real-time, and actionable insights.
- EEG and MEG Signal Processing
- Neural Signal Decoding
- Multimodal Neural Data Fusion
- Real-Time Neural Data Analytics
Neuroprosthetics, Robotics & Assistive Technologies
Robotic and assistive systems that restore, support, or enhance human function.
- Brain-Controlled Robotic Systems
- Neuroprosthetic Limbs
- Exoskeletons and Rehabilitation Robotics
- Intelligent Assistive Devices
NeuroAI & Brain-Inspired Artificial Intelligence
AI systems inspired by neural computation, biological intelligence, and brain architecture.
- Brain-Inspired Computing
- Neuromorphic Computing
- Spiking Neural Networks
- Biological Intelligence and AI
Clinical Neurotechnology & Digital Neurology
Clinical applications of AI, connected devices, and digital platforms in neurology.
- AI-Based Neurological Diagnosis
- Digital Biomarkers
- Remote Neurological Monitoring
- Technology-Enabled Personalized Neurology
Neurodegenerative Disorders & AI
AI and neurotechnology approaches for understanding, detecting, and monitoring neurodegeneration.
- AI for Alzheimer’s Disease Research
- Parkinson’s Disease and Digital Biomarkers
- Early Detection of Neurodegeneration
- AI-Based Disease Progression Prediction
Neuromodulation & Therapeutic Neurotechnology
Stimulation and modulation technologies for treating neurological and psychiatric conditions.
- Deep Brain Stimulation
- Transcranial Magnetic Stimulation
- Transcranial Electrical Stimulation
- Closed-Loop Neuromodulation
Brain Organoids, Neurobiology & Bioengineering
Bioengineered neural models and tissue systems for studying brain development and disease.
- Brain Organoids and Neural Models
- Neuroengineering at the Cellular Level
- Neural Tissue Engineering
- Organoid-Based Brain Research
Neurotechnology for Mental Health & Cognitive Enhancement
Digital, AI-enabled, and neurotechnology approaches for mental health and cognitive performance.
- AI-Based Mental Health Monitoring
- Neurotechnology for Depression and Anxiety
- Cognitive Training and Enhancement
- Digital Therapeutics and Neurotechnology
Next-Generation Computing for Neuroscience
Computing systems that support scalable, efficient, and advanced neuroscience research.
- Quantum Computing for Brain Research
- Edge AI for Neurotechnology
- High-Performance Neural Computing
- Brain-Inspired Hardware and AI Chips
Future Neurotechnology, Ethics & Human–AI Integration
Responsible innovation, human integration, and future directions for neurotechnology and AI.
- Ethical Challenges in Neurotechnology
- Neuroprivacy and Neural Data Security
- Human–AI–Brain Interaction
- Future Directions in Brain–Machine Integration
Why Multiple Tracks?
Our multi-track format lets attendees tailor their congress experience across brain-computer interfaces, NeuroAI, neuroimaging, neuroprosthetics, clinical neurotech and ethics — with in-depth sessions and cross-discipline collaboration.