Predictive coding is a computational theory of brain function that has gained significant attention in neuroscience, artificial intelligence (AI), and robotics. It posits that the brain (and similarly, AI systems) continuously makes predictions about incoming sensory data and updates its models based on discrepancies, or prediction errors, between expected and actual inputs. This mechanism of…
Event-based vision systems are a breakthrough in sensory technology that mimic the way biological vision works, offering unique advantages over traditional frame-based cameras. Unlike conventional cameras, which capture entire frames at fixed time intervals, event-based cameras only capture changes in the scene, providing high temporal resolution and low latency. This makes them particularly well-suited for…
The field of neuromorphic computing is inspired by the brain’s architecture and the way biological neural systems process and respond to sensory input. Neuromorphic sensors are designed to mimic the sensory systems found in nature—such as the human sense of sight, touch, and hearing—by leveraging bio-inspired circuits and algorithms. These sensors go beyond traditional robotic…