ArticleFrontiers in neuroscience2022
A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The neuroscience education readiness checklist for digital tools and methods.Frontiers in computational neuroscience · 2026Article
- Artificial Intelligence in Cardiovascular Diagnosis: Innovations and Impact on Disease Screenings.Journal of pharmacy & bioallied sciences · 2025Article
- Closing the loop: High-speed robotics with accelerated neuromorphic hardware.Frontiers in neuroscience · 2024Article
- Scalable network emulation on analog neuromorphic hardware.Frontiers in neuroscience · 2024Article
- Artificial intelligence in cardiovascular diseases: diagnostic and therapeutic perspectives.European journal of medical research · 2023Review
- Parametrizing analog multi-compartment neurons with genetic algorithms.Open research Europe · 2023Article
- Beyond LIF Neurons on Neuromorphic Hardware.Frontiers in neuroscience · 2022Article
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Authors and funding
23 authors.
Funding
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Abstract
Neuromorphic systems open up opportunities to enlarge the explorative space for computational research. However, it is often challenging to unite efficiency and usability. This work presents the software aspects of this endeavor for the BrainScaleS-2 system, a hybrid accelerated neuromorphic hardware architecture based on physical modeling. We introduce key aspects of the BrainScaleS-2 Operating System: experiment workflow, API layering, software design, and platform operation. We present use cases to discuss and derive requirements for the software and showcase the implementation. The focus lies on novel system and software features such as multi-compartmental neurons, fast re-configuration for hardware-in-the-loop training, applications for the embedded processors, the non-spiking operation mode, interactive platform access, and sustainable hardware/software co-development. Finally, we discuss further developments in terms of hardware scale-up, system usability, and efficiency.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.