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Lesson title:

This lecture covers an introduction to neuroinformatics and its subfields, the content of the short course and future neuroinformatics applications.

Difficulty level: Beginner
Duration: : 34:27
Course Name: : INCF Short course: Introduction to neuroinformatics
Lesson title:

This lecture gives an introduction to simulation, models, and the neural simulation tool NEST. 

Difficulty level: Beginner
Duration: : 1:48:18
Course Name: : INCF Short course: Introduction to neuroinformatics
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
Course Name: : INCF Short course: Introduction to neuroinformatics
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
Course Name: : Computational neuroscience: the basics
Lesson 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
Course Name: : Computational neuroscience: the basics
Lesson title:

Introduction to modelling of chemical computation in the brain

Difficulty level: Beginner
Duration: : 1:00:11
Speaker: : Upi Bhalla
Course Name: : Computational neuroscience: the basics
Lesson title:

Part 1 of 2 of a tutorial on statistical models for neural data

Difficulty level: Beginner
Duration: : 1:45:48
Speaker: : Jonathan Pillow
Course Name: : Statistical models
Lesson title:

Part 2 of 2 of a tutorial on statistical models for neural data.

Difficulty level: Beginner
Duration: : 1:50:31
Speaker: : Jonathan Pillow
Course Name: : Statistical models
Lesson title:

Introduction to simple spiking neuron models.

Difficulty level: Beginner
Duration: : 48 Slides
Speaker: : Zubin Bhuyan
Course Name: : Biophysical models
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
Course Name: : Biophysical models
Lesson title:

Introduction to the course Cellular Mechanisms of Brain Function.

Difficulty level: Beginner
Duration: : 12:20
Speaker: : Carl Petersen
Course Name: : Biophysical models
Lesson 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
Course Name: : Biochemical models
Lesson title:

Introduction to modelling of chemical computation in the brain

Difficulty level: Beginner
Duration: : 1:00:11
Speaker: : Upi Bhalla
Course Name: : Biochemical models
Lesson title:

Introduction to the role of models in theoretical neuroscience

Difficulty level: Beginner
Duration: : 19:26
Speaker: : Jakob Macke
Course Name: : Cajal Course in Computational Neuroscience
Lesson title:

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

Difficulty level: Beginner
Duration: : 39:09
Speaker: : Astrid Prinz
Course Name: : Cajal Course in Computational Neuroscience
Lesson title:

Balanced E-I networks, stability and gain modulation

Difficulty level: Beginner
Duration: : 1:22:11
Speaker: : Kenneth Miller
Course Name: : Cajal Course in Computational Neuroscience
Lesson title:

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

Difficulty level: Beginner
Duration: : 1:16:47
Speaker: : Byron Yu
Course Name: : Cajal Course in Computational Neuroscience
Lesson title:

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

Difficulty level: Beginner
Duration: : 1:39:32
Course Name: : Cajal Course in Computational Neuroscience
Lesson title:

Spiking neuron networks and linear response models.

Difficulty level: Beginner
Duration: : 1:24:22
Course Name: : Cajal Course in Computational Neuroscience
Lesson title:

Bayesian neuron models and parameter estimation.

Difficulty level: Beginner
Duration: : 1:12:38
Speaker: : Jakob Macke
Course Name: : Cajal Course in Computational Neuroscience