Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.
Explores total scattering and PDF analysis in materials science, covering in-situ synthesis, data analysis techniques, and applications in host-guest systems.
Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.
Explores in vivo electrophysiology techniques for studying brain function through extracellular potentials and whole-cell recordings.
Covers hybrid neural models, nerve histology, sensory feedback restoration, and deep brain stimulation in neuroprosthetics.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Explores neural cell membrane dynamics, including ion channels, action potentials, myelination, and bioelectronic interfaces.
Explores cortical neuronal activity analysis, including AP detection, firing rate computation, spectral analysis, and correlation with motor behavior.
