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Brain Science and Living Neuronal Networks for Smart Grids [abstract]

On the neurobiology side, a novel in vitro neural system is used to explore new learning mechanisms that may underlie the massively parallel real-time control capabilities of the brain. Brains are exquisitely good at adaptive real-time interaction with the world. This requires spatially and temporally coordinated activity of many neurons to accomplish. Although much is known about how neurons function, comparatively little is known about how networks of them, along with glial cells, produce the kinds of emergent brain properties we call memories, thoughts, decisions, associations, or perceptions. How do neural systems adapt and learn to be highly effective at time-critical control problems? In this project, we are approaching this question by studying small living neuronal networks (LNNs) in culture, which have fewer uncontrolled parameters than intact brains, and are much more amenable to detailed observation and manipulation. LNNS of ~50,000 neurons (and glial cells) from rodent cortex are grown in culture, using multielectrode array culture dishes (MEAs).