Teaching and research conducted by the McDonnell Center for Systems Neuroscience explore the ways in which the brain acquires, modifies, and stores information during cognitive processes; efforts that are of critical importance to Princeton scientists as they advance knowledge of neural coding and dynamics.
Neural coding refers to the ways in which information is represented in the electrical and biochemical signals in neurons (perception and short-term memory) and the patterns of synaptic connections (long-term memory).   Neural dynamics refers to the patterns of nerve cell electrical and chemical activity in which information is created, manipulated, and stored. Neural dynamics are involved in decision-making, planning, and executing sequences of behavior.
The list below details some research efforts in these areas.

Faculty Research Supported by The McDonnell Center for Systems Neuroscience