Computational Modeling of Biological Brain Circuits

Undergraduate / Graduate

This course will introduce students to neural circuit models as used in cellular and systems neuroscience research. Topics will include: single-neuron models (e.g, integrate and fire, Hodgkin-Huxley); synaptic dynamics; network models for memory, attention, and decision-making; large-scale circuit models for EEG and fMRI; and data-driven circuit models.