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

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

Part 1 of 2 of a tutorial on statistical models for neural data

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.

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.

This lecture covers describing and characterizing an input-output relationship.

This tutorial talks about how to upload and version your data in OpenNeuro.org

This tutorial shows how to share your data in OpenNeuro.org

This tutorial shows how to run analysis in OpenNeuro.org

Inferring results from incomplete data

Finding parameter values, confidence intervals.

Methods for estimating parameters.

Measuring the correspondece between data and model.

How to choose useful variables.

Common problems in statistical modelling.

Common problems in statistical modelling.

You don't have to be a wizard to do statistics!

Overview of possible follow up courses and subjects from the same publisher.

This tutorial is part 1 of 2. It aims to provide viewers with an understanding of the fundamentals of R tool.

This tutorial is part 2 of 2. It aims to provide viewers with an understanding of the fundamentals of R tool.