Signal and Data Analysis in Neuroscience

Signal and Data Analysis in Neuroscience

Course number: 27-505

Lecturer:  Prof. Izhar Bar Gad

Second semester


Course goals

Provide the basis for enabling the analysis of signals and data acquired in the various fields related to brain sciences

Course topics

Hours: 2+1 h/w – 3 credit points


  • 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)

Course Website:


Course requirements

Homework submission, passing the exams


Final grade

Homework  50%

Two exams, 25% each