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This talk describes the NIH-funded SPARC Data Structure, and how this project navigates ontology development while keeping in mind the FAIR science principles. 

Difficulty level: Beginner
Duration: 25:44
Speaker: : Fahim Imam

This lesson provides an overview of the current status in the field of neuroscientific ontologies, presenting examples of data organization and standards, particularly from neuroimaging and electrophysiology. 

Difficulty level: Intermediate
Duration: 33:41

This lesson continues from part one of the lecture Ontologies, Databases, and Standards, diving deeper into a description of ontologies and knowledg graphs. 

Difficulty level: Intermediate
Duration: 50:18
Speaker: : Jeff Grethe
Course:

This lecture covers structured data, databases, federating neuroscience-relevant databases, and ontologies. 

Difficulty level: Beginner
Duration: 1:30:45
Speaker: : Maryann Martone

This lecture covers FAIR atlases, including their background and construction, as well as how they can be created in line with the FAIR principles.

Difficulty level: Beginner
Duration: 14:24
Speaker: : Heidi Kleven

This lecture focuses on ontologies for clinical neurosciences.

Difficulty level: Intermediate
Duration: 21:54

This lecture provides an introduction to optogenetics, a biological technique to control the activity of neurons or other cell types with light.

Difficulty level: Beginner
Duration: 39:34
Speaker: : Adam Packer

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

This talk gives an overview of the Human Brain Project, a 10-year endeavour putting in place a cutting-edge research infrastructure that will allow scientific and industrial researchers to advance our knowledge in the fields of neuroscience, computing, and brain-related medicine.

Difficulty level: Intermediate
Duration: 24:52
Speaker: : Katrin Amunts

This lecture gives an introduction to the European Academy of Neurology, its recent achievements and ambitions.

Difficulty level: Intermediate
Duration: 21:57
Speaker: : Paul Boon

This talk enumerates the challenges regarding data accessibility and reusability inherent in the current scientific publication system, and discusses novel approaches to these challenges, such as the EBRAINS Live Papers platform. 

Difficulty level: Beginner
Duration: 18:08
Speaker: : Andrew Davison

This lesson aims to define computational neuroscience in general terms, while providing specific examples of highly successful computational neuroscience projects. 

Difficulty level: Beginner
Duration: 59:21
Speaker: : Alla Borisyuk

This lesson covers membrane potential of neurons, and how parameters around this potential have direct consequences on cellular communication at both the individual and population level. 

Difficulty level: Beginner
Duration: 28:08
Speaker: : Carl Petersen

In this lesson you will learn about neurons' ability to generate signals called action potentials, and biophysics of voltage-gated ion channels.

Difficulty level: Beginner
Duration: 27:47
Speaker: : Carl Petersen

This lesson discusses voltage-gating kinetics of sodium and potassium channels.

Difficulty level: Beginner
Duration: 19:20
Speaker: : Carl Petersen

In this lesson, you will learn about the ionic basis of the action potential, including the Hodgkin-Huxley model.

Difficulty level: Beginner
Duration: 28:29
Speaker: : Carl Petersen

This lesson delves into the specifics of how action potentials propagate through individual neurons.

Difficulty level: Beginner
Duration: 23:16
Speaker: : Carl Petersen

This lesson discusses long-range inhibitory connections in the brain, with examples from three different systems.

Difficulty level: Beginner
Duration: 19:05
Speaker: : Carl Petersen
Course:

An introduction to data management, manipulation, visualization, and analysis for neuroscience. Students will learn scientific programming in Python, and use this to work with example data from areas such as cognitive-behavioral research, single-cell recording, EEG, and structural and functional MRI. Basic signal processing techniques including filtering are covered. The course includes a Jupyter Notebook and video tutorials.

 

Difficulty level: Beginner
Duration: 1:09:16
Speaker: : Aaron J. Newman

This tutorial introduces pipelines and methods to compute brain connectomes from fMRI data. With corresponding code and repositories, participants can follow along and learn how to programmatically preprocess, curate, and analyze functional and structural brain data to produce connectivity matrices. 

Difficulty level: Intermediate
Duration: 1:39:04