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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 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 lecture gives an introduction to the types of glial cells, homeostasis (influence of cerebral blood flow and influence on neurons), insulation and protection of axons (myelin sheath; nodes of Ranvier), microglia and reactions of the CNS to injury.

Difficulty level: Beginner
Duration: 40:32

This lesson contains both a lecture and a tutorial component. The lecture (0:00-20:03 of YouTube video) discusses both the need for intersectional approaches in healthcare as well as the impact of neglecting intersectionality in patient populations. The lecture is followed by a practical tutorial in both Python and R on how to assess intersectional bias in datasets. Links to relevant code and data are found below. 

Difficulty level: Beginner
Duration: 52:26
Course:

Maximize Your Research With Cloud Workspaces is a talk aimed at researchers who are looking for innovative ways to set up and execute their life science data analyses in a collaborative, extensible, open-source cloud environment. This panel discussion is brought to you by MetaCell and scientists from leading universities who share their experiences of advanced analysis and collaborative learning through the Cloud.

 

Difficulty level: Beginner
Duration: 55:43

In this lesson, you will learn about how team science unfolds in practice, as well as what are the standards and best practices used by teams, and how well these best practices function and support scientific output. 

Difficulty level: Beginner
Duration: 15:21
Speaker: : Hannah Bayer

In this lesson, you will learn about approaches to make the field of neuroscience more open and fair, particularly regarding the integration of equality, diversity, and inclusion (EDI) as guiding principles for team collaboration. 

Difficulty level: Beginner
Duration: 14:11
Speaker: : Karin Grasenick

This lesson discusses the topic of credit and contribution in open and FAIR neuroscience, looking through the respective lenses of systems, teams, and people. 

Difficulty level: Beginner
Duration: 24:34
Speaker: : Tanya Brown

In this talk, you will hear about the challenges and costs of being FAIR in the many scientific fields, as well as opportunities to transform the ecology of the academic crediting system. 

Difficulty level: Beginner
Duration: 14:56
Speaker: : Zefan Zheng

In this lightning talk, you will learn about BrainGlobe, an initiative which exists to facilitate the development of interoperable Python-based tools for computational neuroanatomy.

Difficulty level: Beginner
Duration: 3:33