Neuroscience Data AnalysisExplores neuroscience data analysis, focusing on K+ and Na+ currents, Ca²+ currents, and data reproducibility.
Escape noiseExplores escape noise in computational neuroscience, covering stochastic intensity, interspike intervals, likelihood functions, noise model comparison, and rate versus temporal codes.
Three definitions of rate codeDiscusses three definitions of rate code in computational neuroscience, emphasizing temporal averaging, interspike intervals, and FANO factor.
Spectral Estimation MethodsExplores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Data Science EssentialsCovers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.
Developing a ModelCovers the development of a model to identify stable causal relationships between variables.
Clustering & Density EstimationCovers dimensionality reduction, clustering, and density estimation techniques, including PCA, K-means, GMM, and Mean Shift.
