Neuroinformatics class page

This part of the site contains materials for Kenneth Harris' graduate course on "Neuroinformatics" (Spring 2022). Lectures will be delivered  in person 11am-1pm Wednesdays in the SWC ground floor lecture room (at least that is our current plan!) and will also be recorded for those accessing remotely. Workshops will be at 1:30pm Wednesdays, location to be confirmed.

Powerpoints: 

12/1/22

Review of Statistics
Spike Trains

19/1/22

LFPs
Spectral analysis

26/1/22

Spectrograms and non-stationary signals
Multiple Timeseries
 

2/2/22

Circular Statistics, local likelihood
The bootstrap

9/2/22

Singular Value Decomposition
Dimensionality Reduction

16/2/22

Reading week

23/2/22

Multiple linear regression
Ridge Regression and Bayesian regression

2/3/22

Lasso, Support Vector Machines, GLMs
The kernel trick

9/3/22

Information theory
Estimating mutual information

16/3/22

Nonsense correlations
Confirmatory analysis for multiple spike trains

23/3/22 (optional)

Cluster analysis and spike sorting

Bayesian methods

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