Systems Neuroscience
An interdisciplinary approach that combines insights from neuroscience and AI development to create AI models that can perceive, learn, and adapt in complex and dynamic environments by emulating the functions of neural assemblies and various subsystems found in biological organisms.
Areas of application
- Machine Learning
- Neural Networks
- Cognitive Computing
- Robotics
- Computer Vision
- Brain-Inspired AI
Example
Developing an AI model that can recognize and classify different types of hand gestures, similar to how the human brain processes and interprets hand movements