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Caltech researchers create the first artificial neural network out of DNA
Date:7/20/2011

-tube network took eight hours to identify each mystery scientist. The molecules are also used upunable to detach and pair up with a different strand of DNAafter completing their task, so the game can only be played once. Perhaps in the future, a biochemical neural network could learn to improve its performance after many repeated games, or learn new memories from encountering new situations. Creating biochemical neural networks that operate inside the bodyor even just inside a cell on a Petri dishis also a long way away, since making this technology work in vivo poses an entirely different set of challenges.

Beyond technological challenges, engineering these systems could also provide indirect insight into the evolution of intelligence. "Before the brain evolved, single-celled organisms were also capable of processing information, making decisions, and acting in response to their environment," Qian explains. The source of such complex behaviors must have been a network of molecules floating around in the cell. "Perhaps the highly evolved brain and the limited form of intelligence seen in single cells share a similar computational model that's just programmed in different substrates."

"Our paper can be interpreted as a simple demonstration of neural-computing principles at the molecular and intracellular levels," Bruck adds. "One possible interpretation is that perhaps these principles are universal in biological information processing."


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Contact: Deborah Williams-Hedges
debwms@caltech.edu
626-395-3227
California Institute of Technology
Source:Eurekalert  

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