Lecture on the most important concepts in software engineering
Introductory presentation on how data science can help with scientific reproducibility.
Introduction to the Mathematics chapter of Datalabcc's "Foundations in Data Science" series.
Primer on elementary algebra
Primer on linear algebra
Primer on systems of linear equations
Primer on calculus
How calculus relates to optimization
Big O notation
Basics of probability.
2nd part of the lecture. Introduction to cell receptors and signalling cascades
GABAergic interneurons and local inhibition on the circuit level.
How does the brain learn? This lecture discusses the roles of development and adult plasticity in shaping functional connectivity.
The mechanisms behind changes in synaptic function created by learning.