Bridging the neuron-to-network gap
The McKelvey School of Engineering’s Shantanu Chakrabartty has recently been awarded a $380,000 NSF grant to address a persistent problem when it comes to recreating these neuronal networks in silicon: energy efficiency.
Silicon ‘neurons’ may add a new dimension to computer processors
Research from the McKelvey School of Engineering shows that energy constraints on a system, coupled with an intrinsic property of systems, push silicon neurons to create a dynamic, at-a-distance communication that is more robust and efficient than traditional computer processors. And it may teach us something about biological brains.