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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.

 PowerpointsWorksheets 

Week 1
15/01/2025

Introduction
Experimental Methods
  

Week 2
22/01/2025

Statistical Inference
Nonsense Correlations
Randomization tests: IBL behavior data 

Week 3
29/01/2025

Rate coding
 

Rate coding: human concept cell data 

Week 4
05/02/2025

Tuning functionsRelating visual cortex and deep network responses to images 

Week 5
12/02/2025

Information Theory
Temporal Coding

Temporal coding
Take-home summative assessment: Information theory
 
Reading week
19/02/2025
Reading week  

Week 6
26/02/2025

Point Processes
Oscillations
Point processes and oscillations 

Week 7
05/03/2025

Population coding: visualization
Population coding: decoding models
Decoding image responses 

Week 8
12/03/2025

Population coding: Sparse and dense codes
Population coding: Lessons from AI

Sparse and dense codes 

Week 9
19/03/2024

Neural field theory
Combining multiple inputs
Neural fields 

Week 10
26/03/2024

Spontaneous activity
Variability and correlations
  

 

 

Archived slides from 2024:

Review of Statistics
Spike Trains
LFPs
Spectral analysis
Spectrograms and non-stationary signals
Multiple Timeseries
Circular Statistics, local likelihood
The bootstrap
Singular Value Decomposition
Dimensionality Reduction
 
Multiple linear regression
Ridge Regression and Bayesian regression
Lasso, Support Vector Machines, GLMs
The kernel trick
Analysis of multiple spike trains
Nonsense correlations
Cluster analysis and spike sorting
Bayesian methods
Information theory
Estimating mutual information