This lesson covers the spatiotemporal dynamics of the membrane potential.

In this lesson you will learn about neurons' ability to generate signals called action potentials, and biophysics of voltage-gated ion channels.

This lesson discusses voltage-gating kinetics of sodium and potassium channels.

In this lesson, you will learn about the ionic basis of the action potential, including the Hodgkin-Huxley model.

This lesson delves into the specifics of how action potentials propagate through individual neurons.

In this lesson, you will learn about neurotransmitter release in the presynaptic specialization.

This lesson covers synaptic modulation through diffusing neurotransmitters.

This lecture gives an overview of glutamatergic transmission.

This lesson discusses glutamate release after an action potential, and the resulting post-synaptic potentials. 

In this lesson, you will learn about glutamatergic excitatory neuronal circuits.

This lesson gives an overview of neurons' dendritic spines and their function.

This lecture provides an introduction GABAergic inhibition and its receptors.

This lesson takes a closer look at GABA_A receptor mediated fast inhibition.

This lecture focuses on how benzodiazepines act on GABA_A receptors.

This lesson discusses long-range inhibitory connections in the brain, with examples from three different systems.

In this lesson, you will learn about GABAergic interneurons and local inhibition on the circuit level.

This lecture provides 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 the ethical implications of the use of pharmaceuticals to enhance brain functions and was part of the Neuro Day Workshop held by the NeuroSchool of Aix Marseille University.

This lecture explains the concept of federated analysis in the context of medical data, associated challenges. The lecture also presents an example of hospital federations via the Medical Informatics Platform.

This lesson continues with the second workshop on reproducible science, focusing on additional open source tools for researchers and data scientists, such as the R programming language for data science, as well as associated tools like RStudio and R Markdown. Additionally, users are introduced to Python and iPython notebooks, Google Colab, and are given hands-on tutorials on how to create a Binder environment, as well as various containers in Docker and Singularity.