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.
In this lecture, the speaker demonstrates Neurokernel's module interfacing feature by using it to integrate independently developed models of olfactory and vision LPUs based upon experimentally obtained connectivity information.
Ion channels and the movement of ions across the cell membrane.
Action potentials, and biophysics of voltage-gated ion channels.
Voltage-gating kinetics of sodium and potassium channels.
The ionic basis of the action potential, including the Hodgkin Huxley model.
Action potential initiation and propagation.
Long-range inhibitory connections in the brain, with examples from three different systems.
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.