Open and remotely accessible Neuroplatform for research in wetware computing
An open Neuroplatform for wetware computing research combines electrophysiology and AI with living neurons. It enables long-term experiments on brain organoids remotely, supporting complex studies for energy-efficient computing advancements.
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An open and remotely accessible Neuroplatform for research in wetware computing has been developed to explore the intersection of electrophysiology and artificial intelligence using living neurons for computations. Unlike traditional Artificial Neural Networks (ANNs), biological neural networks require new methods due to the nature of biological neurons. The Neuroplatform allows for electrophysiological experiments on neural organoids, enabling researchers to conduct experiments on a large scale with organoids lasting over 100 days. The system streamlines the experimental process, monitors action potentials continuously, and provides electrical stimulations. It also features a microfluidic system for automated medium flow and environmental stability. The platform has been used with over 1,000 brain organoids, generating substantial data. Researchers can access the system remotely through a dedicated API, enabling complex experiments and processing using deep learning libraries. The platform is freely available for research purposes in 2024, supporting global research efforts in wetware computing and organoid intelligence. The system's architecture and specific experiment examples are outlined in the article, highlighting the potential for advancing computational paradigms towards more energy-efficient computing models.
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