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This lesson provides an introduction to modelling of chemical computation in the brain.

Difficulty level: Beginner
Duration: 1:00:11
Speaker: : Upi Bhalla

This lesson gives a presentation on computationally demanding studies of synaptic plasticity on the molecular level.

Difficulty level: Advanced
Duration: 15:44

This lesson is part 1 of 2 of a tutorial on statistical models for neural data.

Difficulty level: Beginner
Duration: 1:45:48
Speaker: : Jonathan Pillow

This lesson is part 2 of 2 of a tutorial on statistical models for neural data.

Difficulty level: Beginner
Duration: 1:50:31
Speaker: : Jonathan Pillow

This lecture covers an Introduction to neuron anatomy and signaling, as well as different types of models, including the Hodgkin-Huxley model.

Difficulty level: Beginner
Duration: 1:23:01
Speaker: : Gaute Einevoll

This lecture describes forms of plasticity on many levels: short-term, long-term, metaplasticity, and structural plasticity. Included in this lecture are also examples related to modelling of biochemical networks.

Difficulty level: Beginner
Duration: 1:11:29
Speaker: : Upi Bhalla

This lesson provides an introduction to modelling of chemical computation in the brain.

Difficulty level: Beginner
Duration: 1:00:11
Speaker: : Upi Bhalla

This talk presents several computationally demanding studies of synaptic plasticity on the molecular level.

Difficulty level: Advanced
Duration: 15:44

This lesson provides an introduction to modeling single neurons, as well as stability analysis of neural models.

Difficulty level: Intermediate
Duration: 1:26:06
Speaker: : Bard Ermentrout

This lesson continues a thorough description of the concepts, theories, and methods involved in the modeling of single neurons. 

Difficulty level: Intermediate
Duration: 1:25:38
Speaker: : Bard Ermentrout

In this lesson you will learn about fundamental neural phenomena such as oscillations and bursting, and the effects these have on cortical networks. 

Difficulty level: Intermediate
Duration: 1:24:30
Speaker: : Bard Ermentrout

This lesson continues discussing properties of neural oscillations and networks. 

Difficulty level: Intermediate
Duration: 1:31:57
Speaker: : Bard Ermentrout

In this lecture, you will learn about rules governing coupled oscillators, neural synchrony in networks, and theoretical assumptions underlying current understanding.

Difficulty level: Intermediate
Duration: 1:26:02
Speaker: : Bard Ermentrout

This lesson provides a continued discussion and characterization of coupled oscillators. 

Difficulty level: Intermediate
Duration: 1:24:44
Speaker: : Bard Ermentrout

This lesson gives an overview of modeling neurons based on firing rate. 

Difficulty level: Intermediate
Duration: 1:26:42
Speaker: : Bard Ermentrout

This lesson characterizes the pattern generation observed in visual system hallucinations.

Difficulty level: Intermediate
Duration: 1:20:42
Speaker: : Bard Ermentrout

This lesson provides an introduction to the role of models in theoretical neuroscience, particularly focusing on David Marr's work on levels of description/analysis of the brain as a complex system: computation, algorithm & representation, and implementation.

Difficulty level: Beginner
Duration: 19:26
Speaker: : Jakob Macke

In this lesson, you will learn about different types of models, model complexity, and how to choose an appropriate model.

Difficulty level: Beginner
Duration: 39:09
Speaker: : Astrid Prinz

This lesson provides an overview of balanced excitatory-inhibitory (E-I) networks, stability, and gain modulation. 

Difficulty level: Beginner
Duration: 1:22:11
Speaker: : Kenneth Miller

This lesson introduces methods for dimensionality reduction of data, with focus on factor analysis.

Difficulty level: Beginner
Duration: 1:16:47
Speaker: : Byron Yu