Signal & Data Analysis in Neuroscience (27-505)

 

Second semester, 2020

 

Syllabus

  • Signals & data in neuroscience

  • Stochastic processes

  • Poisson processes

  • Single spike train

  • Multiple spike trains

  • Event related activity

  • Neural encoding

  • Neural discrimination

  • Neural decoding

  • Optimization

  • Information theory

  • Frequency domain

  • Systems

  • Filters

  • Spectral analysis

  • Wavelets

  • Clustering

  • Dimensionality reduction

  • Independent component analysis (ICA)

 

 

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