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From reconstructions of neuronal circuits to anatomically realistic artificial neural networks

Project description

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.

Coordinator

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Net EU contribution
€ 150 000,00
Address
Hofgartenstrasse 8
80539 Munchen
Germany

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Research Organisations
Other funding
No data