Understanding the human brain is one of the greatest and most challenging scientific frontiers of our time. CCN’s mission is to develop models, principles and conceptual frameworks that deepen our knowledge of brain function — both in health and in disease.
CCN takes a “systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning.
Artificial neural networks that learn to perform Principal Component Analysis (PCA) and related tasks using strictly local learning rules have…arXiv:1810.06966
Temporally precise movement patterns underlie many motor skills and innate actions, yet the flexibility with which the timing of such…Nature Communications
We study the large source asymptotics of the generating functional in quantum field theory using the holographic renormalization group, and…arXiv:1802.05362