Neuroinformatics class page

Materials for Kenneth Harris' yearly course on Neuroinformatics.

Lectures will be delivered in person 11am-1pm Wednesdays in the ground floor lecture room of the Sainsbury Wellcome Centre and will be recorded for those accessing remotely - zoom links are on the class moodle page. Workshops will be at 1:30pm Wednesdays in the same place.

On Weds March 13 the lecture will be in lecture theatre G03, 26 Bedford Way.

The final assessment will be Thursday 21st March, 2pm-5pm, in the SWC ground floor lecture room where the lectures took place.

	Powerpoints	Worksheets (non-assessed)	Matlab code*
Week 1 10/01/2024	Review of Statistics Spike Trains	The t-test and randomization tests Making a raster plot	CorrelationOfCorrelations Overfitting PlaceFields Rasters
Week 2 17/01/2024	LFPs Spectral analysis	Power spectra	PowerSpectrum GaussianProcesses Tapering
Week 3 24/01/2024	Spectrograms and non-stationary signals Multiple Timeseries	Spectrograms and coherence	PowerSpectrumParameters Spectrograms HilbertTransform MeanPhase
Week 4 31/01/2024	Circular Statistics, local likelihood The bootstrap	Circular statistics	BootStrapCircular
Week 5 07/02/2024	Singular Value Decomposition Dimensionality Reduction	Singular value decomposition	SvdMovie SVDspikes
Week 6	Reading week
Week 7 21/02/2024	Multiple linear regression Ridge Regression and Bayesian regression	Multiple linear regression	RidgeRegression
Week 8 28/02/2024	Lasso, Support Vector Machines, GLMs The kernel trick	Poisson regression
Week 9 06/03/2024	Analysis of multiple spike trains Nonsense correlations
Week 10 13/03/2024	Cluster analysis and spike sorting Bayesian methods
Week 11 20/03/2024	Information theory Estimating mutual information	Information theory	MutualInformation

*The Matlab code recreates some of the figures shown 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.