Teaching and research conducted by the McDonnell Center for Systems Neuroscience explores 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
- Michael Berry Neural computation in the retina
- Lisa Boulanger Neuronal functions of immune molecules
- Carlos Brody Quantitative approaches to systems neuroscience
- Jonathan Cohen Neural mechanisms of cognitive control
- Lynn Enquist Neurovirology
- Asif Ghazanfar Developmental neuroscience of vocal communication
- Elizabeth Gould Neurogenesis and hippocampal function
- Michael Graziano Sensorimotor integration
- Charles Gross Functions of the cerebral cortex in behavior
- Sabine Kastner Neural mechanisms of visual perception and attention
- Coleen Murphy Molecular mechanisms of aging
- Mala Murthy Neural Mechanisms Underlying Acoustic Communication
- Yael Niv Human and animal reinforcement learning and decision making
- David Tank Measurement and analysis of neural circuit dynamics
- Samuel Wang Learning rules and design principles in neural circuits