This lecture covers structured data, databases, federating neuroscience-relevant databases, ontologies.
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.