Lecture

Neuromorphic Computing: Challenges and Future

Description

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.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.