For the Electronic Vision(s) group, identify their primary neuromorphic computing platform. Describe its key characteristics that make it valuable for scientific experiments, specifically mentioning its speed advantage and how it aids in bridging temporal and spatial scales for research.
Navigate to the 'Research' section of the Kirchhoff-Institute for Physics website. From the 'Research' section, navigate to the 'Neuromorphic Hardware' sub-section. On the 'Electronic Visions Group' page, navigate to their 'Research' section. Identify the name of the primary neuromorphic computing platform. Extract the key characteristics of this platform, focusing on its speed and ability to bridge temporal and spatial scales for scientific experiments.
Successfully navigate to the 'Research' page of the Electronic Vision(s) group. Identify 'BrainScaleS hybrid multiscale platform' as the primary neuromorphic computing platform. State that its key characteristic is its high speed ('far exceeding biological real-time'). State that it is valuable for scientific experiments because it can 'bridge temporal scales from milliseconds to years' and 'study spatial scales from the single cell level to functional brain areas in a single experiment'.