Lecture on the most important concepts in software engineering
Introductory presentation on how data science can help with scientific reproducibility.
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.
How does the brain learn? This lecture discusses the roles of development and adult plasticity in shaping functional connectivity.
The mechanisms behind changes in synaptic function created by learning.
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.