Computational Neuroscience

Catalog description

A lecture-based course surveying computational neuroscience, focusing on mathematical models and theoretical analysis to understand brain function. The course explores computational principles across different brain areas, including the visual cortex (object recognition), auditory cortex (spiking models), hippocampus (learning & memory), hippocampal-entorhinal complex (spatial navigation), basal ganglia (reinforcement learning), and prefrontal cortex (decision making).