Computational Neuroscience

After decades of exponential growth in power, existing computer architectures still fail to match the ability of the mammalian brain to interpret, respond to, and learn from natural sensory inputs. Rapid progress in neuroscience suggests an alternative strategy for achieving brain-like behavior: identifying the computational primitives that underlie the processing in biological neural circuits. We develop high-performance neural simulation tools and to use them to find these primitives, which make the brain so much more powerful than the familiar von Neumann computer or artificial neural networks (ANNs).