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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: 

11/1/23

Review of Statistics
Spike Trains

18/1/23

LFPs
Spectral analysis

25/1/23

Spectrograms and non-stationary signals
Multiple Timeseries
 

1/2/23

Circular Statistics, local likelihood
The bootstrap

8/2/23

Singular Value Decomposition
Dimensionality Reduction

 

15/2/23

Reading week

22/2/23

Multiple linear regression
Ridge Regression and Bayesian regression

1/3/23

Lasso, Support Vector Machines, GLMs
The kernel trick

8/3/23

Information theory
Estimating mutual information

15/3/23

Nonsense correlations
Confirmatory analysis for multiple spike trains

22/3/23 (optional)

Cluster analysis and spike sorting
Bayesian methods

WORKSHEETS:

Week 1: 

The t-test and randomization tests
Making a raster plot

Week 2: 

Power spectra

MATLAB code (that makes the figures in the slides):

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

Week 2

Week3

Week 4

Week 5

Week 6

Week 8

Week 10

Week 13:

Week 18: