Neuroinformatics class page

This part of the site contains materials for Kenneth Harris' graduate course on "Neuroinformatics" (Spring 2019). Lectures are in the Sainsbury-Wellcome Center main seminar room, starting at 11am on Wednesdays. After each day's lectures, we have project workshops in G40 medical sciences.

Powerpoints: 

​​​​9/1/19

Review of Statistics
Spike Trains

16/1/19

LFPs
Spectral analysis
Spectrograms and non-stationary signals

23/1/19

Multiple Timeseries
Circular Statistics, local likelihood
The bootstrap

30/1/19

Singular Value Decomposition
Dimensionality Reduction

6/2/19:

Project Workshop

13/2/19:

Reading week

20/2/19

Multiple linear regression
Ridge Regression and Bayesian regression

27/2/19

Lasso, Support Vector Machines, GLMs
The kernel trick

6/3/19

Information theory
Estimating mutual information

13/3/19

Workshop only, focusing on project report and writeup

20/3/19:

Confirmatory analysis for multiple spike trains
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