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

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

JupyterHub is a simple, highly extensible, multi-user system for managing per-user Jupyter Notebook servers, designed for research groups or classes. This lecture covers deploying JupyterHub on a single server, as well as deploying with Docker using GitHub for authentication.

Difficulty level: Beginner
Duration: 1:36:27
Speaker: : Thomas Kluyver.
Lecture 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
Lecture 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
Lecture title:

Introduction to simple spiking neuron models.

Difficulty level: Beginner
Duration: 48 Slides
Speaker: : Zubin Bhuyan
Lecture title:

Forms of plasticity on many levels - short-term, long-term, metaplasticity, structural plasticity. With examples related to modelling of biochemical networks. 

[NB: The sound uptake is a bit noisy the first few minutes, but gets better from about 5 mins in]

 

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

Introduction to modelling of chemical computation in the brain

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

Conference presentation on computationally demanding studies of synaptic plasticity on the molecular level

Difficulty level: Advanced
Duration: 15:44