Neurobiology, Physiology and Behavior
Center for Neuroscience
Neurorealistic simulation of learned behavior
DeBello and his team will utilize a known model of learning to explore the use of simulation techniques to accelerate the mapping of neural networks. The hope is that this information will lead to the next big advance in computing, running biologically inspired algorithms on biologically inspired hardware. Such architectures have potential to radically lower power consumption and contribute massively parallel processing capabilities for increased simultaneous computation that will greatly augment what is possible in today’s computers and mobile platforms.