9.40 Introduction to Neural Computation
9.40 Introduction to Neural Computation (Spring 2018, MIT OCW). Instructor: Prof. Michale Fee. 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. (from ocw.mit.edu)
| Lecture 17 - Principal Components Analysis |
This video covers eigenvalues and eigenvectors, Gaussian distributions, computing covariance matrices, and principal components analysis (PCA).
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