The Center for Neurocomputation and Machine Intelligence is one of three research pillars at Yale's Wu Tsai Institute focused on advancing breakthroughs in our understanding of human cognition by finding rules of how the mind works hidden in brain data.

Researchers in the Center use Yale's high performance computing resources in their work to integrate data science, computer science, applied math, and engineering to analyze and model neuroscience data. The mathematical, statistical, and computational tools of these fields provide a common language to bridge the many branches of neuroscience and derive abstract principles of cognition. In turn, these theories generate hypotheses about brain mechanisms that can be tested experimentally and incorporated into artificial systems.