In this lesson you will learn about fundamental neural phenomena such as oscillations and bursting, and the effects these have on cortical networks.
This lesson continues discussing properties of neural oscillations and networks.
In this lecture, you will learn about rules governing coupled oscillators, neural synchrony in networks, and theoretical assumptions underlying current understanding.
This lesson provides a continued discussion and characterization of coupled oscillators.
This lesson gives an overview of modeling neurons based on firing rate.
This lesson characterizes the pattern generation observed in visual system hallucinations.
This lesson gives an introduction to stability analysis of neural models.
This lesson continues from the previous lectures, providing introduction to stability analysis of neural models.
In this lesson, you will learn about phenomena of neural populations such as synchrony, oscillations, and bursting.
This lesson continues from the previous lecture, giving an overview of various neural phenomena such as oscillations and bursting.
This lesson provides more context around weakly coupled oscillators.
This lesson builds upon previous lectures in this series, providing an overview of coupled oscillators.
In this lesson, you will learn about neuronal models based on their spike rate.
In this lesson, you will learn about neural activity pattern generation in visual system hallucinations.
From the retina to the superior colliculus, the lateral geniculate nucleus into primary visual cortex and beyond, this lecture gives a tour of the mammalian visual system highlighting the Nobel-prize winning discoveries of Hubel & Wiesel.
From Universal Turing Machines to McCulloch-Pitts and Hopfield associative memory networks, this lecture explains what is meant by computation.
In this lesson you will learn about ion channels and the movement of ions across the cell membrane, one of the key mechanisms underlying neuronal communication.
This lesson provides an overview of the current status in the field of neuroscientific ontologies, presenting examples of data organization and standards, particularly from neuroimaging and electrophysiology.
Following the previous lesson on neuronal structure, this lesson discusses neuronal function, particularly focusing on spike triggering and propogation.
This lesson introduces the practical exercises which accompany the previous lessons on animal and human connectomes in the brain and nervous system.