Lesson type

Lesson title:

Introduction to stability analysis of neural models

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

Introduction to stability analysis of neural models

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

Oscillations and bursting

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

Oscillations and bursting

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

Weakly coupled oscillators

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

Continuation of coupled oscillators

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

Firing rate models.

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

Pattern generation in visual system hallucinations.

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

Introduction to the role of models in theoretical neuroscience

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

Different types of models, model complexity, and how to choose an appropriate model.

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

Balanced E-I networks, stability and gain modulation

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

Methods for dimensionality reduction of data, with focus on factor analysis.

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

Methods for dimensionality reduction of data, with focus on factor analysis.

Difficulty level: Beginner
Duration: 1:39:32
Lesson title:

Spiking neuron networks and linear response models.

Difficulty level: Beginner
Duration: 1:24:22
Lesson title:

Bayesian neuron models and parameter estimation.

Difficulty level: Beginner
Duration: 1:12:38
Speaker: : Jakob Macke

Bayesian memory and learning, how to go from observations to latent variables.

Difficulty level: Beginner
Duration: 1:33:34
Speaker: : Máté Lengyel
Lesson title:

Constraints can help us understand how the brain works.

Difficulty level: Beginner
Duration: 1:34:42
Speaker: : Simon Laughlin
Lesson title:

Approaching neural systems from an evolutionary perspective

Difficulty level: Beginner
Duration: 1:29:38
Speaker: : Gilles Laurent
Lesson title:

This lecture describes non-spiking simple neuron models used in artificial neural networks and machine learning.

Difficulty level: Beginner
Duration: 8:23
Speaker: : Geoffrey Hinton
Lesson title:

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

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