Instead of playing round with mathematical models of neural networks, a University of Florida scientist has grown a real neural network in a dish–and then trained it to fly an F-22 fighter jet simulator.
The work is being done at UF’s Computational NeuroEngineering Laboratory. The scientist, Thomas DeMarse, “has a $500,000 National Science Foundation grant to create a mathematical model that reproduces how the neurons compute,“ according to the article in ScienceDaily.
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