Introduction to Neural Computation

This course introduces quantitative approaches to understanding brain and cognitive functions. Topics include mathematical description of neurons, the response of neurons to sensory stimuli, simple neuronal networks, statistical inference and decision making. It also covers foundational quantitative tools of data analysis in neuroscience: correlation, convolution, spectral analysis, principal components analysis, and mathematical concepts including simple differential equations and linear algebra.

This program offers a structured path from fundamentals to mastery, ensuring you gain practical, job-ready skills that are recognized by global employers. Whether you're starting a new career or leveling up your current expertise, this learning experience is optimized for your success.