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.

The "connectome" is a term, coined in the past decade, that has been used to describe more than one phenomenon in neuroscience. This lecture explains the basics of structural connections at the micro-, meso- and macroscopic scales.

This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases

This lecture focuses on how the immune system can target and attack the nervous system to produce autoimmune responses that may result in diseases such as multiple sclerosis, neuromyelitis and lupus cerebritis manifested by motor, sensory, and cognitive impairments. Despite the fact that the brain is an immune-privileged site, autoreactive lymphocytes producing proinflammatory cytokines can cause active brain inflammation, leading to myelin and axonal loss.

An overview of some of the essential concepts in neuropharmacology (e.g. receptor binding, agonism, antagonism), an introduction to pharmacodynamics and pharmacokinetics, and an overview of the drug discovery process relative to diseases of the Central Nervous System.

This lecture covers describing and characterizing an input-output relationship.

This tutorial talks about how to upload and version your data in OpenNeuro.org

This tutorial shows how to share your data in OpenNeuro.org

This tutorial shows how to run analysis in OpenNeuro.org

Inferring results from incomplete data

Finding parameter values, confidence intervals.

Methods for estimating parameters.

Measuring the correspondece between data and model.

How to choose useful variables.

Common problems in statistical modelling.