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Lesson title:

FAIR principles and methods currently in development for assessing FAIRness.

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

Tutorial describing the basic search and navigation features of the Allen Mouse Brain Atlas

Difficulty level: Beginner
Duration: : 6:40
Speaker: : Unknown
Course Name: : How to use Allen Institute for Brain Science resources
Lesson title:

Tutorial describing the basic search and navigation features of the Allen Developing Mouse Brain Atlas

Difficulty level: Beginner
Duration: : 6:35
Speaker: : Unknown
Course Name: : How to use Allen Institute for Brain Science resources
Lesson title:

This tutorial demonstrates how to use the differential search feature of the Allen Mouse Brain Atlas to find gene markers for different regions of the brain and to visualize this gene expression in three-dimensional space. Differential search is also available for the Allen Developing Mouse Brain Atlas and the Allen Human Brain Atlas.

Difficulty level: Beginner
Duration: : 6:31
Speaker: : Unknown
Course Name: : How to use Allen Institute for Brain Science resources
Lesson title:

This lecture covers modeling the neuron in silicon, modeling vision and audition and sensory fusion using a deep network. 

Difficulty level: Beginner
Duration: : 1:32:17
Speaker: : Shih-Chii Liu
Course Name: : INCF Short course: Introduction to neuroinformatics
Lesson title:

Presentation of a simulation software for spatial model neurons and their networks designed primarily for GPUs.

Difficulty level: Beginner
Duration: : 21:15
Speaker: : Tadashi Yamazaki
Course Name: : Neuromorphic computing and challenges
Lesson title:

Presentation of past and present neurocomputing approaches and hybrid analog/digital circuits that directly emulate the properties of neurons and synapses.

Difficulty level: Beginner
Duration: : 41:57
Speaker: : Giacomo Indiveri
Course Name: : Neuromorphic computing and challenges
Lesson title:

Presentation of the Brian neural simulator, where models are defined directly by their mathematical equations and code is automatically generated for each specific target.

Difficulty level: Beginner
Duration: : 20:39
Speaker: : Giacomo Indiveri
Course Name: : Neuromorphic computing and challenges
Lesson title:

The lecture covers a brief introduction to neuromorphic engineering, some of the neuromorphic networks that the speaker has developed, and their potential applications, particularly in machine learning.

Difficulty level: Intermediate
Duration: : 19:57
Course Name: : Neuromorphic computing and challenges
Lesson title:

Ion channels and the movement of ions across the cell membrane.

Difficulty level: Beginner
Duration: : 28:08
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

Action potentials, and biophysics of voltage-gated ion channels.

Difficulty level: Beginner
Duration: : 27:47
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

Voltage-gating kinetics of sodium and potassium channels.

Difficulty level: Beginner
Duration: : 19:20
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

The ionic basis of the action potential, including the Hodgkin Huxley model.

Difficulty level: Beginner
Duration: : 28:29
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

Action potential initiation and propagation.

Difficulty level: Beginner
Duration: : 23:16
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

Long-range inhibitory connections in the brain, with examples from three different systems.

Difficulty level: Beginner
Duration: : 19:05
Speaker: : Carl Petersen
Course Name: : Cellular Mechanisms of Brain Function
Lesson title:

How does the brain learn? This lecture discusses the roles of development and adult plasticity in shaping functional connectivity.

Difficulty level: Beginner
Duration: : 1:08:45
Speaker: : Clay Reid
Course Name: : Coding and Vision 101