Through Introduction to Computational Neuroscience, I gained valuable experience modeling and analyzing neural systems. Using Python, I simulated neuron dynamics and neural network behavior to deepen understanding of brain function. Key projects involved building models of sensory systems, motor control, and higher cognitive processes. This provided hands-on practice leveraging computational tools to unravel the complexities of neurobiology. I strengthened proficiency in data analysis, visualization, and deriving insights from simulations. By bridging computer science and neuroscience, this course equipped me with versatile technical abilities applicable across medical domains, while deepening my passion for the brain and cognition that motivates my career aspirations.

Timeline:

Winter ‘24