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The Multi-scale brain

Understanding the brain requires an integrated understanding of different scales of organisation of the brain. This means studying the role that genes, channels, cells, microcircuits, and even whole brain regions have in different types of behaviour: From perception to action, while asleep or when being awake.

This coursewill take the you through the latest data, models and techniques for investigating the different levels of the brain. We will show how we can put the pieces together and attain new insights and derive new theories. With contributions from more than 10 international neuroscientists from six different research institutions, the MOOC gives a broad overview of the latest tools and techniques for neuroinformatics, analysis, modelling and simulation.
At the same time, several different tutorials on available data and data tools, such as those from the Allen Institute for Brain Science, provide you with in-depth knowledge on brain atlases, gene expression data and modeling neurons. These tutorials will be followed by exercises that give you the opportunity to acquire the necessary skills to use the tools and data for your own research.

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EPFLx

Rating Not enough ratings
Length 7 weeks
Effort 4 - 6 hours per week
Starts Nov 4 (37 weeks ago)
Cost $139
From EPFLx via edX
Instructors Sean Hill, Terri Gilbert, Forrest Collman, Trygve Bakken, Saskia de Vries, Jack Waters, Huib Mansvelder, Vilas Menon, Alain Destexhe, Francesco Pavone, Danilo Bzdok, Michael Reimann
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Language English
Subjects Programming Science
Tags Computer Science Biology & Life Sciences Science

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edX

&

EPFLx

Rating Not enough ratings
Length 7 weeks
Effort 4 - 6 hours per week
Starts Nov 4 (37 weeks ago)
Cost $139
From EPFLx via edX
Instructors Sean Hill, Terri Gilbert, Forrest Collman, Trygve Bakken, Saskia de Vries, Jack Waters, Huib Mansvelder, Vilas Menon, Alain Destexhe, Francesco Pavone, Danilo Bzdok, Michael Reimann
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Science
Tags Computer Science Biology & Life Sciences Science

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