Tatiana Engel

Tatiana Engel’s lab uses computational and theoretical approaches to investigate how coordinated activity arises from distributed neural circuitry to drive behavioral and cognitive functions. They develop mathematical models and data analysis methods to reveal distributed circuit mechanisms from rich experimental data. Tatiana’s group employs and extends tools and ideas from diverse fields, including statistical mechanics, machine learning, dynamical systems theory, and information theory. The lab’s work benefits from close collaborations with experimental neuroscience laboratories collecting neurophysiological data in animals engaged in sophisticated tasks, such as attention, decision-making, and learning.