Neurophysiological Data Analysis

Related lectures (31)

Page 3 of 4

Covers the basics of image processing using Fiji software, focusing on managing files and applying filters.

Introduces a course on Genetics & Genomics, focusing on R programming with interactive exercises.

Covers exercises on genome-scale metabolic models, including FBA and TFA analysis, as well as modeling kinetics.

Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.

Covers eigenvalues, eigenfunctions, Hermitian operators, and the measurement of observables in quantum chemistry.

Covers the basics of creating and customizing charts in Excel.

Covers the basics of file handling in C, common issues, and standard functions.

Explores the Schrödinger equation in quantum mechanics, emphasizing conservation of probability and numerical schemes.

Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.

Explores tissue-level wave patterns, cellular oscillators, genetic waves, and gene expression patterns in cellular differentiation.