The probability of a hypothesis, given data.
Why math is useful in data science.
Why statistics are useful for data science.
Statistics is exploring data.
Graphical data exploration
Numerical data exploration
Simple description of statistical data.
Basics of hypothesis testing.
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.