Living neural networks grown in vitro that can be trained and controlled through optogenetics, chemogenetics, and electrical stimulation, demonstrating learning capabilities through synaptic plasticity.
Living neural networks that can learn, adapt, and process information through biological mechanisms, creating the foundation for true biological artificial intelligence.
Real biological neurons grown in controlled environments, maintaining their natural properties and capabilities for learning and adaptation.
Complex neural circuits formed through natural synaptic connections, enabling sophisticated information processing and pattern recognition.
Natural synaptic plasticity mechanisms that enable the network to learn and adapt through experience, just like biological brains.
Detailed neural engineering parameters and performance metrics
Revolutionary applications in neuroscience and biotechnology
Advanced neural prosthetics that can directly interface with biological neural networks for enhanced functionality.
Direct communication between biological neural networks and artificial systems for seamless integration.
Using living neural networks to test and develop new drugs for neurological disorders and diseases.
Creating truly biological artificial intelligence systems that can learn and adapt like living organisms.
Milestones and achievements in biological neural network development
Successfully developed stable neural cultures with high viability and synaptic connectivity for long-term experiments.
Integrated optogenetic stimulation with neural cultures, achieving precise control over neural activity patterns.
Demonstrated learning capabilities in biological neural networks through reward-based training protocols.
Achieved successful control of animal behavior through direct neural stimulation and optogenetic manipulation.