Neuromorphic Computing: Challenges and Future

This lecture explores the challenges and future of neuromorphic computing, comparing digital computers and neuromorphic hardware. It delves into the performance differences between NEST and SpiNNaker on a cortical microcircuit model, highlighting the impact of numerical accuracy. The lecture also discusses the Neuromorphic Computing Platform in the Human Brain Project, emphasizing the ease of transitioning between simulators and neuromorphic hardware. Additionally, it covers the different design points of neuromorphic systems, focusing on compactness, energy efficiency, user configurability, time steps, and accessibility.