Computational neuroscience of decision making and memory
Research in the Murray Lab focuses on computational neuroscience to investigate the function and dynamics of neural circuits with a particular interest in higher cognitive functions such as decision making and working memory. To investigate these issues, we develop modeling, theoretical, and data-analytic approaches, in close collaboration with experimentalists. Computational modeling spans multiple levels of analysis --- from biophysical microcircuitry, to large-scale network dynamics, to task-optimized artificial neural networks --- and analyze neural and behavioral data from humans and animals.