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Computational and Physiological Neuroscience

Computational Neuroscience is the study of brain function in terms of the information processing properties of the structures that make up the nervous system.  It is an interdisciplinary science that links the diverse fields of neuroscience, cognitive science and psychology, electrical engineering, computer science, physics, and mathematics.  Computational neuroscience emphasizes descriptions of functional and biologically realistic neurons (and neural systems) and their physiology and dynamics.  These models capture the essential features of the biological system at multiple spatial-temporal scales, from membrane currents, protein and chemical coupling to network oscillations, columnar and topographic architecture and learning and memory. These computational models are used to frame hypotheses that can be directly tested by current or future biological and/or psychological experiments.

Computational Neuroscience and Modeling faculty are listed below:

                                            For more information, please contact the CSFN Office at:

                                                        Phone: (406) 243-4324                                  Email:

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