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Lesson title:

This primer on optogenetics primer discusses how to manipulate neuronal populations with light at millisecond resolution and offers possible applications such as curing the blind and "playing the piano" with cortical neurons.

Difficulty level: Beginner
Duration: : 59:06
Speaker: : Clay Reid
Course Name: : Coding and Vision 101
Lesson title:

This lecture provides an overview of depression (epidemiology and course of the disorder), clinical presentation, somatic co-morbidity, and treatment options.

Difficulty level: Beginner
Duration: : 37:51
Course Name: : Brain medicine for non-specialists
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:

What is the difference between attention and consciousness? This lecture describes the scientific meaning of consciousness, journeys on the search for neural correlates of visual consciousness, and explores the possibility of consciousness in other beings and even non-biological structures.

Difficulty level: Beginner
Duration: : 1:10:01
Speaker: : Christof Koch
Course Name: : Coding and Vision 101
Lesson title:

The "connectome" is a term, coined in the past decade, that has been used to describe more than one phenomenon in neuroscience. This lecture explains the basics of structural connections at the micro-, meso- and macroscopic scales.

Difficulty level: Beginner
Duration: : 1:13:16
Speaker: : Clay Reid
Course Name: : Coding and Vision 101
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:

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:

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
Course Name: : Computational neuroscience: the basics
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: : Introduction to computational neuroscience
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
Course Name: : Introduction to computational neuroscience
Lesson title:

Introductory presentation on how data science can help with scientific reproducibility.

Difficulty level: Beginner
Duration: :
Speaker: : Michel Dumontier
Course Name: : Data science and reproducibility