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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 will discuss how understanding and applying simple neuroanatomical rules, one can localize the damage along the neuroaxis, the first crucial step toward making the correct clinical diagnosis and initiating treatment.

Difficulty level: Beginner
Duration: : 44:52
Speaker: : Eitan Auriel
Course Name: : Brain medicine for non-specialists
Lesson title:

Introduction to the principal of anatomical organization of neural systems in the human brain and spinal cord that mediate sensation, integrate signals, and motivate behavior.

Difficulty level: Beginner
Duration: : 59:57
Course Name: : Introduction to neurobiology for non-specialists
Lesson title:

This lecture focuses on the comprehension of nociception and pain sensation. It highlights how the somatosensory system and different molecular partners are involved in nociception and how nociception and pain sensation are studied in rodents and humans and the development of pain therapy.

Difficulty level: Beginner
Duration: : 28:09
Speaker: : Serena Quarta
Course Name: : Introduction to neurobiology for non-specialists
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:

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