Brain networks useful for artificial intelligence
Artificial neural networks (ANNs) hold great opportunities and possibilities for advancements for many industries and services, nations, and organizations, from improved automation to ease of use and more efficiency. However, ANNs require extensive training and large amounts of data to accomplish even the most simplest of functions. By contrast, biological neural networks have evolved in the brain to perform highly complex functions efficiently. The ERC-funded ConnectomesToANNs project will provide several computational tools for capturing basic biological principles from reconstructions of neural networks in the brain in the design of ANNs. These 'biological' ANNs will improve the performance of artificial intelligence applications, while reducing training and data requirements.
Fields of science
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Call for proposalSee other projects for this call
Funding SchemeHORIZON-AG-LS - HORIZON Lump Sum Grant
See on map