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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
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:
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: