Neuromorphic Controller

Neuromorphic controllers leverage biologically-inspired neural networks to create energy-efficient and fast-responding control systems for robots and other applications. Current research focuses on developing and implementing spiking neural networks (SNNs) and leaky integrate-and-fire (LIF) neuron models for tasks ranging from robotic arm control and locomotion to advanced imaging and medical devices like closed-loop deep brain stimulators. This approach promises significant improvements in power consumption and latency compared to traditional methods, impacting fields like robotics, healthcare, and computer vision by enabling more autonomous and efficient systems.