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Lecture title:

Introduction to stability analysis of neural models

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

Introduction to stability analysis of neural models

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

Oscillations and bursting

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

Oscillations and bursting

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

Weakly coupled oscillators

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

Continuation of coupled oscillators

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

Firing rate models.

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

Pattern generation in visual system hallucinations.

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

Introduction to the role of models in theoretical neuroscience

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

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

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

Balanced E-I networks, stability and gain modulation

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

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

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

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

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

Spiking neuron networks and linear response models.

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

Bayesian neuron models and parameter estimation.

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

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

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

Constraints can help us understand how the brain works.

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

Approaching neural systems from an evolutionary perspective

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

This lecture covers computational principles that growth cones employ to detect and respond to environmental chemotactic gradients, focusing particularly on growth cone shape dynamics.

Difficulty level: Intermediate
Duration: 26:12
Speaker: : Geoff Goodhill
Lecture title:

In this lecture you will learn that in developing mouse somatosensory cortex, endogenous Btbd3 translocate to the cell nucleus in response to neuronal activity and oriented primary dendrites toward active axons in the barrel hollow.

Difficulty level: Intermediate
Duration: 27:32
Speaker: : Tomomi Shimogori