CAMBAM Students

Normal Distribution Statistics - Kelly Bullock

CAMBAM Students

Functional Clustering - Lennart Hilbert

CAMBAM Students

Neuronal Modeling and Synchronicity - Greg Stacey

CAMBAM Students

Circular Statistics - Nour Malek and Frederic Simard

CAMBAM Students

Non-linear system identification - Adam Schneider

CAMBAM Students

Support Vector Machines - Sébastien Tremblay

CAMBAM Students

Non-parametric non-linear system modelling with volterra series - Theodore Zanos, PhD

CAMBAM Students

Information Theory and Neural Coding - Part 1, by Adam Schneider

CAMBAM Students

Linear Regression, Optimization, Classification and Decoding - Part 2, by Nathan Friedman

CAMBAM Students

Linear Regression, Optimization, Classification and Decoding - Part 1, by Greg Stacey

CAMBAM Students

Dimensionality Reduction PCA and Gauss. Proc. Factor Analysis, by Frederic Simard

CAMBAM Students

Information Theory and Neural Coding - Part 2, by Ashkan Golzar

CAMBAM Students