Neuroinformatics class page

This part of the site contains materials for Kenneth Harris' graduate course on "Neuroinformatics" (Spring 2021). Lectures are online via zoom 11am-1pm Wednesdays, workshops via gather at 1:30pm Wednesdays

Powerpoints: 

20/1/21

Review of Statistics
Spike Trains

27/1/21

LFPs
Spectral analysis

3/2/21

Spectrograms and non-stationary signals
Multiple Timeseries
 

10/2/21

Circular Statistics, local likelihood
The bootstrap

17/2/21

Reading week

24/2/21

Singular Value Decomposition
Dimensionality Reduction

3/3/21

Multiple linear regression
Ridge Regression and Bayesian regression

10/3/21

Lasso, Support Vector Machines, GLMs
The kernel trick

17/3/21

Information theory
Estimating mutual information

24/3/21:

Nonsense correlations
Confirmatory analysis for multiple spike trains

31/3/21 (optional)

Bayesian methods

Cluster analysis and spike sorting

MATLAB code:

Please note the extensions of these files have been changed from .m to .txt to comply with our web service. Once you download them, you need to change them back to .m to run them in Matlab.

Week 1

• CorrelationOfCorrelations.txt

  CorrelationOfCorrelations.txt

• Overvitting.txt

  Overvitting.txt

Week 2

• PlaceFields.txt

  PlaceFields.txt

• Rasters.txt

  Rasters.txt

Week3

• PowerSpectrum.txt

  PowerSpectrum.txt

Week 4

• GaussianProcesses.txt

  GaussianProcesses.txt

• Tapering.txt

  Tapering.txt

Week 5

• PowerSpectrumParameters.txt

  PowerSpectrumParameters.txt

• Spectrograms.txt

  Spectrograms.txt

• HilbertTransform.txt

  HilbertTransform.txt

Week 6

• MeanPhase.txt

  MeanPhase.txt

Week 8

• MutualInformation.txt

  MutualInformation.txt

Week 10

• RidgeRegression.txt

  RidgeRegression.txt

Week 13:

• SvdMovie.txt

  SvdMovie.txt

• SVDspikes.txt

  SVDspikes.txt

Week 18:

• BootStrapCircular.txt

  BootStrapCircular.txt