The Neuroinformatics Platform will bring together many different kinds of data. University of Edinburgh's Seth Grant, a key member of the HBP, describes how he is deriving new methods to decode the molecular principles underlying the brain's organization, such as how individual proteins assemble into larger complexes. As Grant explains in Chicago, this has important practical applications as many mutations in schizophrenia and autism converge on these so-called supercomplexes in the brain.
As we understand more and more about the way the brain computes we can apply this knowledge to technology. Karlheinz Meier, of Heidelberg University in Germany and a speaker at AAAS, outlines how he is working to create entirely new computing systems as part of the HBP. These Neuromorphic Computing Systems will merge realistic brain models with new hardware for a completely new paradigm of computingone that more closely resembles how the brain itself processes information.
"The brain has the ability to efficiently perform computations that are impossible even for the most powerful computers while consuming only 30 Watts of power," Meier says.
Brain: Get Ready For Your Close-up
At AAAS, Christof Koch lays out another ambitious, 10-year plan from the Allen Institute for Brain Science: to understand the structure and function of the brain by mapping cell types from mice and humans with computer simulations and figuring out how the cells connect, and how they encode, relay, and process information. The project, Koch says, promises massive, multimodal, and open-access datasets and methodology that will be reproducible and scalable.
At Harvard University, George Church is participating in the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative, which aims to map ev
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